ICTE 2015

The present paper hypothesizes that when the safety motive of sustainable development pursued by financial organizations and the service motive aimed by government financial control contradict, effectiveness of policy conduction would be undermined. Fuzzy comprehensive evaluation method is employed by different target groups to evaluate policy satisfaction. The study has shown that target groups are satisfied with credit system in post-disaster reconstruction.

After the earthquake, road transport lifelines were seriously damaged, for this situation, this paper presents the concept of emergency rescue scheduling decision under earthquake, which is, when the road traffic is interrupted, other modes of transport connections will replace to ensure the fluency of traffic lifelines. Based on the theory of traffic ergonomics, timeliness, security and economy, the three properties of emergency rescue connection, were nondimensionalized and polymerized by weight. Using the multi-attribute decision-make theory, established the utility function model, Finally, verified the model through concrete examples.

In consideration of the insecurity and high energy consumption of motorcycle, over 200 Chinese cities have implemented motorcycle forbidden policy since 1985. Taking Changzhou as an example, this paper firstly summarizes the policy implemented in Changzhou, and then analyzes the impaction upon motorcycles, including the deceleration of motorcycle ownership, change of usage and improvement of safety. Changzhou’s experience shows that the ban has obvious effect on reducing the ownership and usage of motorcycle. But there is still strong demand for motorcycle in the suburb area. The ban policy should be strengthened progressively and varied in different zones rather than one-style-fits-all or one-step-fits-all.

As for some Chinese cities as Chengdu which is mostly flat, electric bicycles take the place of manual bicycles to become the first choice of middle and short distance transport for lower-and-middle income groups due to their low cost, higher speed and carrying capacity. But more and more traffic problems resulted from a large magnitude of electric bicycles appeal to universal attention. Aimed at the absence of practical survey and research on electric bicycle traffic, this paper carried out practical traffic survey on electric bicycles in Chengdu, presents statistical analysis on the structure scale, traffic volume, violations and proportions, especially on the speed distribution. According to traffic practices of electric bicycles in Chengdu, this paper affirms their main body position, proposes type selection diversification, coordination with urban transit, standardization and strict management, and humanization in traffic organization. And eight strategies and five kinds of facility designs are pointed out.

In the trends of rail transit network development, this paper gives a brief analysis of the superiority and impact factors of the modern tram network development. On this basis we present three kinds of adaptation modes of the modern tram network development. These three modes respectively focus on the small and medium-sized cities groups, the new town in big cities and the ecological tourism zone. At the same time we conduct the case studies.

The lightweight design of vehicle has become an important research topic of green transportation because of many advantages with high security, energy-saving, emission reduction and so forth in the environment of the green traffic. In a premise of clear understanding of lightweight vehicles, the article discussed the factors influencing lightweight vehicle design from the two aspects of design cost and vehicle energy consumption. The research results show that: through the use of green welding forming technology, it can effectively reduce the vehicle quality and the energy consumption. By using aluminum alloy, weathering steel and composite material composite structure design, not only it can satisfy the requirements of the integration of the vehicle structure, but also can reduce the vehicle weight to realize the balancing of benefits and costs so as to provide a good direction for the green traffic to build a resource conserving and environment friendly society.

Developing battery electric bus (BEB) has become a good means to help cut down the increasing greenhouse gas emissions and global crude oil demand. Due to the limited driving range and long charging time of BEB, battery swap station (BSS) seems the best option for BEBs to replenish energy at present. This paper presents a novel method to design the BSS for BEBs. Based on several assumptions and running rules for BEBs, the swapping and charging demand of BEB fleets are analysed to calculate the design scale of the BSS, which include the scales of battery packs, battery swapping system and battery charging system. As a case study, the BSS serving for 120 BEBs in World Expo 2010 Shanghai China, are simulated through a Matlab program. The results show that the simulation can provide an equivalent level of operation. And the scales calculated by the method are close to the actual values, which indicates that the design method we proposed is effective.

For the bulk and stable cargo, railway commonly uses the protocol transport. The railway transport enterprise can avoid the market risk at the same time when providing security to transportation capacity. This paper introduces the option theory to the process of protocol transport in pricing, establishes the optimal decision model based on the largest returns of enterprise and customer and solves the problems of setting option exercise price and buying option quantity. This paper considers the changes in market prices and the competition of other modes of transport when building the model and finally applies the model to a simple example.

Nowadays railway transportation developed towards High-speed in passenger transport, heavy load in freight transport and High density in urban railway system. As a result, the rail/wheel wear become more and more serious, thus decreased the rail rigidity and changed the rail-wheel contact and impact the safety and comfort of railway transportation. In this paper, we are committed to make a precise prediction of rail wear in order to guide wheel/rail profile optimization and rail grinding cycle making by introduced a numerical model in predict of rail wear along with the passing gross weight grow. Firstly, a wheel-rail wear model based on non-Hertzian rolling contact theory and the energy dissipation principle are carried out with the help of vehicle-rail coupling dynamics software and MATLAB fixed-point iteration. Then, the wheel-rail contact geometry was calculated and the development of wear area, wear depth distribution along with the passing gross weight grow was calculated. At last, for the purpose of verifying the accuracy of the model, a comparison between the calculated results and the measured value was made. As a result of analysis the relationship between wear and passing gross weight, the impact of wear on the rail/wheel geometry is summarized.

In railway transportation, the rail wear decreases the sectional area, not only reduces the rail’s strength, but also changes the wheel-rail contact geometric. Furthermore, rail wear affects the stability of the trains. This paper presents a rail wear prediction model. First, to know if the prediction model was credible, a circle curve center point rail wear was predicted and the results compared with the field measured value. Then, we predicted wear value under different axle loads and gross tonnages through the model. As the results shown: (1) Before the passed gross tonnage exceeds 30MGT, the wear depth increased significantly with the increase of axle load; (2) While the passed gross tonnage reached 60MGT or 90MGT, the wear depth under different axle load hasn’t too much discrepancy; (3) As the gross tonnage continued to increase, reached 120MGT or 150MGT, the wear depth under 23t was the shallowest, while the wear under 21t and 25t were the same.

Railway freight volume is an important index in railway transportation. This paper combined ARMA model with multivariate regression model to analyze the variables that affected the rail freight volume. Ten variables are selected as explanatory variables to study their relationship with rail freight volume. The results show that the rail freight volume is affected by many factors together and we also get the rail freight regression equation. Our results can provide the support for the traffic department to develop the transport plan.

Adaptability of high-speed passenger transport products is assessed from the service level and market competitiveness. Index system of service level is established and grey comprehensive evaluation method is used to calculate the service level of Wuhan-Guangzhou high-speed line. Sharing rate of high-speed railway is calculated by non-disaggregate model, and analyzed the influence of fares and travel time on the sharing rate. It is concluded transport enterprises should design products based on demand of market and itself, and then discount fares and adjust travel time to improve adaptability of high-speed passenger transport products.

Based on the multi-body dynamics software SIMPACK, a vehicle-track dynamics model on heavy haul railway is established. And effects of curve radius and superelevation on wheel-rail dynamics performance are analyzed by the model. The results show that wheel-rail dynamics performance is improved with the increase of curve radius of heavy haul railway, but it is improved to a lesser extent when curve radius is over 800 m. And wheel-rail dynamics performance will be decreased when the superelevation on curve is excessive or inadequate. So deficient superelevation is advantageous for improving the wheel-rail dynamics performance and the reasonable superelevation is recommended to decrease 5% to 10% of balanced superelevation.

Ballast bed in heavy haul railway will accumulate residual deformation and lead to track accumulative settlement under the repeatedly influence of the dynamic load of train. Studying on rule LU Ye s of track settlement of heavy haul railway is the premise of variant design and maintenance management, the effects of transportation conditions and track structure parameters on ballast settlement were analyzed by improving the existing track settlement calculation model and building track structural finite element analysis model. The results show that vehicle running speed, axle load and railway traffic are main factors of controlling track deformation; it benefits to decrease track settlement by adopting heavy rail, increasing bottom area of sleeper, reducing space of sleeper; track settlement reduces by 12.3% when thickness of ballast increases from 30 cm to 40 cm, and track settlement increases by 25% when elastic modulus of ballast increases from 90 MPa to 150 MPa, however, increasing thickness of ballast leads to more maintenance work and small elastic modulus reduces the capacity of structure, therefore, it is important to select track structural parameters reasonably.

To understand the characteristics of head check (HC) propagation, the methods for reconstruction and modelling HCs in the rail were presented by realizing the geometry morphology and spatial position of HCs with the help of some creative technologies: X-ray computed tomography (CT) was applied to detect the rail specimens taken from a curve in a heavy-haul railway and the three dimensional (3D) internal information of HC was extracted and digitalized to the point cloud data with 3D coordinate by thresholding of the grey level. For splicing HCs in different rail specimens, removing the abnormal points, extracting and fitting the edges of HCs, the algorithms for investigating the geometry characteristics, including geometry morphology and spatial angle were designed and programmed. Therefore, the reconstruction of 3D HCs in rail was realized by reconfiguration of geometry morphology and spatial position. By defining the contact property, the fitted 3D HCs were assembled and coupled with a 3D rail model for further crack propagation analysis with the eXtended finite element method (XFEM). The reconstruction results can provide an accurate method for reconstruct HC and a reliable model for study the HCs propagation in the rails of the heavy-haul railway.

Heavy-haul loading transportation can improve efficiency, greatly reduce the transportation cost in shipping bulk cargo. This article discussed the organization mode of heavy-haul loading transportation, comprehensively consider the operation condition of heavy-haul loading train and its economic benefits, use the running time consumption minimum and operation benefit maximization as objective function, use the uniqueness of operation scheme and Loading and unloading capacity as the constraint condition, built the 0–1 nonlinear optimization model of heavy-haul loading operation plan. For the convenience of the model solution, use the Linear weighted method to change the model objective function into single objective function. Design the genetic algorithm to acquire the prioritization scheme of heavy-haul loading train plan.

Passenger flow assignment has a direct influence on optimization of the high-speed railway train operation plan, thus the rational assignment passengers is a basic link and an important role. Considering the level of passengers demand and the impact of passenger product attribution on the passenger assignment, this paper classifies passengers and trains into different category, and shows the cost conversion coefficients of between each passenger set and train set. During the construction of distribution network, this paper divides network into 4 types of nodes and 6 directed arcs: running arc, accumulation arc, transfer arc, stop arc, getting on arc and getting off arc, according to the train arrival and departure time and passenger getting on and off procedure. Every arc has its calibration parameters. Research shows that the essence of assignment under this network is the problem of maximum flow with minimal fare, the assignment process has characteristics of self-driven, the getting on and getting off arc is only used to limit capacity and with no assignment cost produced. The assignment process can be achieved by looking for OD node circuits of corresponding passenger flow from the assignment network. Corresponding algorithm is designed by the use of the properties and the algorithm steps are presented.

In the study of high-speed railway viaduct, structural noise is becoming a hot issue, the root cause is the local vibration which is generated when the trains pass the bridge, the vibration frequency is between 20–200 Hz. Based on the vehicle - track coupling dynamics, the local vibration of the box girder is analyzed by the Finite Element Method (FEM) in detailed. Six representative sensitive points were selected to analyze the vibration response under various conditions. Different section forms are analyzed, including different thickness, dip angle of the web plate, and so were the double room beam. The results show the local vibration can be controlled effectively by the improvement of the cross-sectional form in the practical engineering, in particular changing the thickness of the top plate, and the thickness inclination web plate, at the same time the form must meet other precondition. At last the effects of local vibration on double room box girder beam are discussed. The vibration response of double room box girder is lower than single room box girder.

Chinese high-speed railway got a fast development in recent years, several new lines have been put into operation. After analyzing the mixed passenger and cargo marshalling modes in foreign countries, the high-speed train operation cost quantitative analysis and the calculation formula was given, which was suitable for Chinese actual practice. Using the operation cost method to calculate basic work and operational work between the existing railway line and the high-speed railway passenger-dedicated line. By apportioning the single carriage single cost to calculate the equivalent under the condition of high-speed train mixed passenger and cargo marshalling into operation costs.

Night train is a form of adapting to development of high-speed railway and passenger transport demand in China. High-speed rail train operation at night exist such as waiting for line, transferring line and “a line of maintenance, a line of traffic” three modes, corresponding respectively the way of two line totally closed maintenance and one line closed maintenance. Through comparative analysis, it can be found that high-speed rail window setting should adopt fully closed mode. Based on summary analysis of traditional rectangular window feature, this paper proposes the set form of two-day segmenting rectangle window, and it can effectively avoid the disadvantages of traditional segmenting rectangle window. Finally, taking the Beijing-Shanghai high-speed railway as an example, the paper analyzes the set of two-day segmenting rectangle window.

From 4 aspects of technical condition of fixed equipment, running speed of middle-speed trains, passing capacity of high-speed railway and technical condition of mobile equipment, this paper studies the reasonable matching program of high-speed railway by using mixed operation of two speed types of trains, then the allowable speed matching programs under each condition were achieved. Combining with each factor, the paper suggests that during mixed operation of two speed types of trains on high-speed railways, 3 speed matching programs shall applied, which including 300/200 km/h and above, 250/200 km/h and above as well as 200/140 km/h and above.

With great-leap-forward development in the last decade, the operation of high speed railway in China has entered into network era from single line. With expanded service area and long traveling time, the high speed railway in China is qualified for overnight operation in net structure and time space, which is significantly different from that of high speed railway in other countries and areas. The overnight operation of high speed railway is of significance for capacity utilization improvement, besides diverse travelling demand in time horizon. Waiting, transferring, running and maintenance in adjacent lines meanwhile, and periodic operation are the alternative modes for overnight operation. The technical condition, operation feature and applicability are presented, respectively. With rational range of departure time from original station and arrival time at destination, spatial span of network in vertical and horizontal direction, maintenance demand taken into consideration, the rational travelling distance of overnight high speed train are calculated with different operation mode and travelling speed. The work in this paper on operation mode and rational travelling distance is salutary and leading, which provides particular supports for night operation in Chinese high speed railway, in theory and technique.

The prediction of high speed railway passenger demand volume is important for not only development of railway but also meeting the passenger transport demand. Because of the volatility and uncertainty of the passenger transport demand, this paper puts forward a regression forecasting model based on Grey Relational Analysis (GRA). The correlation between passenger demand and its influencing factors is worked out by using GRA. A multivariate nonlinear regression equation is established to predict high speed railway passenger demand volume. Base on the method, a more reasonable transportation plan and marketing strategy can be developed to meet passenger transport demand better.

With great development in the last decade, the operation of high speed railway in China has entered into network era from single line era. With expanded service area and long traveling time, the high speed railway in China is qualified for overnight operation in net structure and time space, which is significantly different from that of high speed railway in other countries and areas. The overnight operation of high speed railway is of significance for capacity utilization improvement, besides diverse travelling demand. The service area and operation demand of high speed railway from Beijing to Guangzhou were analyzed. The alternatives of overnight operation mode are waiting, transferring to adjacent parallel traditional line, running and maintenance in adjacent lines meanwhile and passenger transferring, and their technical conditions, organization features and adaptability are presented respectively. With the basic information of high speed railway from Beijing to Guangzhou, the waiting mode was selected as the preferable overnight operation mode, and the optimized maintenance curfew scheme was proposed to increase the travelling speed. The work in this paper on operation mode and rational travelling distance is salutary and leading, which provides particular supports for overnight operation in Chinese high speed railway.

High-speed railway transport organization mode is very important for transport operation plan formulation, the improvement of transport efficiency, economic and social benefits. The determination of transport organization mode under high-speed railway network has become a urgent problem need to be addressed with the high-speed railway network gradually constituting in China. This paper gives the definition of transport organization mode based on analyzing the connotation of high-speed railway network transport organization mode. And this paper introduces the influence factors and basic principles of transport organization mode under high-speed railway network. Analyzing the types and characteristics of domestic and foreign high-speed railway transport organization mode, putting forward four types of transport organization mode under high-speed railway network, which are “various speed trains share the same line, one-line and over-line trains share the same line, trains with different stop schedule plans share the same line, trains with various characters share the same line”.

This paper analyzes the interaction process of the running trains associated with the minimal headway for high-speed railway in a more reasonable and sophisticated way after systemically investigating previous researches. A set of new formulas are proposed to improve the calculation accuracy of minimal headway. In the case study section, the proposed methods are tested to calculate the minimal headway of the running trains of different speeds range from 250 km/h to 350 km/h with the calculation step of 10 km/h. The case study results show that with the increase of the maximal allowed speed, the headway between two trains running in one section, the headway between two arrival trains and the minimal headway of the high-speed railway increase, while the headway between two departing trains is a constant. The main conclusions can be drew from the case study results: (1) Headway between two arrival trains is always the bottle neck to narrow down minimal headway of high-speed railway no matter how the maximal allowed speed of the train changes from 250 km/h to 350 km/h. (2) The minimal headway of high-speed railway is always greater than 180 s with the maximal allowed speed of the train ranges from 250 km/h to 350 km/h, which means that some improvement measures should be taken to accomplish the goal of reducing minimal headway to 3 min. (3) The improvement of braking performance of the train can reduce the minimal headway of high-speed railway.

Public transportation companies generally establish a scheduling command center, and gradually develop the mode of cluster scheduling in large-sized and medium-sized cities in China. Realizing the mode of “multiple lines and a scheduling center” is one of the advantages of cluster scheduling so that it can improve the utilization of transport capacity resources. Based on the background, the paper studies a method of cross-line timetable coordinated optimization under cross-line buses with single depot, the synchronization timetable model of which not only considers the decrease of the total passengers’ time cost, including the time cost of cross-line transfer passengers and non-cross-line waiting passengers, but also optimizes the buses’ arriving time and buses’ departure time in order to facilitate to link up the different trips. In addition, the paper established a model of seamless transfer timetable, which effectively reduces the waiting time and the cross-line transfer walking distance of cross-line transfer passengers.

With the comprehensive construction of high-speed railway and deepening reform of the railway freight transportation, high-speed railway is labeled with safe, fast, punctual and other features, which will bring infinite possibility for the railway freight transportation, therefore the research of fast freight trains on high-speed railway is a meaningful exploration. Combining with the current situation of the development of high-speed railway freight transportation in China and abroad, six modes of high-speed railway freight transportation in theory is put forward in this paper. By analyzing the operation conditions of all aspects of the six modes, the suitable mode of China in the short term is the mode of the high-speed train with the mixed marshalling of passenger and cargo. Then this paper prove the feasibility of the mixed marshalling of passenger and cargo transportation on the high-speed railway through selecting and transforming the appropriate freight train, constructing the freight line and platform in the stations on the high-speed railway, analyzing the transport organization technology and the economic operation conditions. In the end, the further research work and the operation mode of the high-speed railway freight transportation in the future are put forward.

As the civil seaplane is an emerging industry in China, its navigation safety needs to be studied. The research on the three-dimensional model of seaplane domain provides the site supervision with technical support during taking-off and landing, and also helps to improve the safety and efficiency of navigation in the operation area. Fujii and Goodwin ship domain model are analyzed by comparison in between. Combined with the navigational characteristics and the safety requirements of seaplane during taking-off and landing, the basic theory of seaplane domain is proposed. On the basis of ship following model, the safety distance between seaplane and ship in encounter is calculated, and a two-dimensional seaplane domain model is established. Additionally, the third vertical dimension model of seaplane domain is determined by its requirements on headroom clearance to prevent collision with the superstructure of ships around. Finally, the developed three-dimensional model is applied in the case in Sanya, China.

The research focused on the new built tram system, Tram Line 1, in Zhuhai, which the tram is one kind of urban track traffic systems. Three kinds of benefits are analyzed as following. Firstly, the economic benefits have been studied including the passenger time-saving benefit and the land value-added benefit. Secondly, the social benefits, which means according to the results of the reducing traffic accidents benefit prediction model and the reducing journey fatigue model, have been analyzed. Thirdly, the environmental benefits have been analyzed, which means by using the prediction of the energy saving benefits, the reducing air pollution benefits forecasting model and the CRTN model to predict the noise effects on the surrounding environment. The paper tried to let the public fully understand the indirect and external social interests which the tram system would bring up. It also gave some suggestions for the sustainable development of the tram system.

Optimization of transport capacity combinatorial procurement facing the actual carrier is an important decision that affects the operation efficiency and competitiveness of the non-vessel operating common carrier (NOVCC) type of sea-rail intermodal transport operator. Based on the hub-and-spoke network structure of container sea-rail intermodal transport, this paper conducts comprehensive consideration of sea-rail intermodal transport demand in various OD markets, capacity limitations of shipping liners and regular railway trains, connections between space and time and so on from the perspective of multimodal transport operators (MTO). In order to minimize the total cost, the slots volume of procurement based on combinatorial selection in shipping liner and regular railway train is as the decision, an optimization model of transport capacity combinatorial procurement in container sea-rail intermodal transport is established, and an algorithm is designed for solving. The experimental results show that the model and algorithm are feasible, and achieve good application effect.

E-business is a great challenge and opportunity to the railway passenger transportation. Through detailed analysis of the current situation of railway passenger transportation system, the logic structure and function framework of dynamic E-business system based on Web services and RFID technology in railway passenger transport are designed, which is excellent interoperability, reliability and maintainability, and will be the trend of railway passenger E-business development. Considering the current situation of railway ticket system and the operation features of the future passenger-dedicated line, the general framework of RFID-based China railway ticket system is put forward, and the key technologies of the system include: safety control system which consists of information coding, key management, access authentication, data integrity audit; the design of ticket reader compatible with multi-tickets; and the application whose characteristics reflected in the flexible check-rule control strategies, efficient gate access and fast payment self-service ticketing.

With the acceleration of urbanization process, the problem of urban traffic is increasingly prominent. In particular, there is a dispute about whether to cancel the existing conventional rail transit buses after the rail transit goes into operation. This paper comes up with BP neural network model basing on the principle of complementarities, by analyzing the relationship between running rail and conventional public transport, and solves the problem of the adjustment of regular bus lines under the operations of both collinear.

Multimodal transportation becomes an effective way to improve logistics efficiency and boost the regional economy eventually. The government introduced a number of multimodal transport subsidies to enterprises from different capital subsidies and tax subsidies. In addition, the government increased multimodal transportation infrastructure investment and achieve international clearance facilitation is also implicit subsidies to enterprises. This study established a “multimodal subsidies productivity” model and used DEA method to calculate the subsidies productivity value under different multimodal transportation systems. The study analyzed government and enterprises relationship under Stackelberg game theory with symmetric information. The result showed that logistics companies prefer the transportation infrastructure subsidies, producers prefer the tax incentives and freight forwarding companies prefer international cooperation policies.

Non-motorized modes are those whose speeds are slower than motorized modes, represented as walking, bicycles and electric bicycles. With the expansion of urban size, non-motorized modes could not meet the residents’ need of trips, so more people would like to choose motorized modes. The research took trip chain as a unit based on data from a within-day travel survey in Zhongshan, Guangdong province in China. According to the cooperation of non-motorized modes and motorized modes, there are four types for the cooperation, including “non-motorized + non-motorized”, “motorized + motorized”, “non-motorized + motorized (mainly non-motorized modes with longer distance)”, “non-motorized + motorized (mainly motorized modes with longer distance)”. In order to clear the influencing factors of combined modes choice, after preliminarily analyzing the characteristic of trip chain attributes including trip purpose, departure time, consumed time, distance and stops, the research used disaggregate model Multinomial Logistic regression model to build a combined mode choice model for combined modes. The results show age, gender, occupation, personal income, the ownership of transport tools, trip purpose, trip chain consumed time have different significant influence on mode choice. Those with low personal income prefer to choose combined mode with non-motorized, and those with high income like choose motorized mode or combined mode with motorized, so the service level of non-motorized mode should be improved to attract more people with high income to use. And especially those who have private car prefer to choose “motorized + motorized” combined mode, so the service level of “non-motorized + motorized” combined mode should be improved to attract more private car owner.

On the basis of extensive research and interviews with experts, we propose a quality evaluation indicator system for rail freight service, which consider both factors of rail transport enterprise and customer satisfaction. We recommend the application of these indicators to assess the quality of rail freight services in order to improve the market competitiveness of railway enterprise.

The single variety of goods transportation route optimization is the basic link of organization and implementation of multimodal transport. Transport costs, transport time, multimodal transport network carriage capacity and change trains ability are the main factors affecting the multimodal transport path selection. The multimodal transport network is described as a simple undirected graph. Contrast and analyze the network characteristics. Based on the parameters definition and borders assumption, using point-arc model, structure the multimodal transport path selection model of a single variety of goods. Further analysis found that: through transforming the network and reconstructing the objective function, it can simplify a linear constraint model about shortest path.

After the operation of Harbin-Dalian high-speed railway, the market share of air transport in northeast area declined obviously because high-speed railway took over a part of aviation customers in various haul distances. On the basis of analyzing the influencing factors on travelers’ choices in high-speed passenger transport, this paper provided a questionnaire based on SP survey. Through the field investigation in Dalian and Harbin, Logit model to analyze the preponderant haul distance of high-speed railway was demarcated. After solving the model and analyzing the competitive edges of Harbin-Dalian high-speed railway in different haul distances.

In order to provide different result to the decision makers with different risk preference of hazardous materials transportation adaptively, we bring conditional value-at-risk (CVaR) modal into the risk assessment question of multimodal transportation of hazardous materials. First we analyzed the entire process of multimodal transportation of hazardous materials systematically, and then we built the CVaR model, and tried to change the traditional model into a new optimization model. According to the characteristics of the model, we designed an algorithm based on node-arc. A numerical example shown that CVaR model of different confidence level could be solved by the algorithm quickly and efficiently. The results show that the CVaR model could cover risk preference from risk-neutral to risk-averse, and it is a more proper and flexible risk measure for multimodal transport of hazardous materials decision making.

This paper analyzes travel mode choice of equilibrium problems in three kinds of travel ways that constituted the way of car, bus, subway. The research subjects are urban residents in the peak period, in the process of travel mode choice selection basis for their own travel costs. Urban road don’t have bus lanes, that is to say cars and buses in the mixture on the same roads. In order to make the residents travel mode choice more accord with people’s actual travel characteristics, the travel cost function are considered main factors in the residents travel mode choice process. The urban resident’s travel mode choice model was established in travel peak period and under the condition of cars and buses mixed driving and based on the user equilibrium theory and the traffic bottleneck theory. Obtain the maximum delay time, the number of trips and travel costs in travel costs equilibrium station. The rationality of the model was verified by a numerical example, the next was further discussed that the high value time of travel and low time value of travel traveler’s impact on travel division and time delay are analyzed in comparison. The examples show that: Firstly, subway travel was to be choice of the majority of residents, whether they are high time value of travel or low time value of travel. Secondly, there are more high time value of travel residents choose car travel, compared with the low time value of travel residents.

As a public auxiliary navigation facility for improving the service quality of inland water transport (IWT), inland waterway service area (IWSA), similar to the expressway service area, has been put forward at the Yangtze Delta in China recently. In order to satisfy the service demand, an appropriate water area for the vessel’s mooring is a key point for the planning of IWSA. In this paper, with the questionnaire and field survey on main waterways in Jiangsu and Zhejiang provinces, the characteristics of service demand of IWSA were analyzed, such as the type of demand, driving-in rate, turnover rate. A model was established to forecast the service demand, the number of vessels driving-in, based on the traffic stream characteristics. Then the required water area can be calculated with the relationship between the area and tonnages of inland freight vessels. Finally, the method was applied to the Beijing-Hangzhou Grand Canal in the southern Jiangsu province, where the result is in accordance with the practical case.

For the situation that taxi passenger volume is diverse and uncertain, this paper constructs combined model of gray GM(1,1) and linear regression for a taxi passenger volume forecasting. The model which depends on the sample data itself, use linear regression equation and exponential equation to fit the curve of passenger volume. It requires less sample data and operates simply. The Lhasa city taxi passenger volume prediction indicates that the combined model obtained higher prediction accuracy than a single gray system or linear regression model. Finally, we predict the demand of taxi for the next two years in Lhasa city, and this will play a reference role in the formulation of policies for taxi industry.

This research explores the relationship between urbanization and regional transportation by using the coupling model. Evaluation indexes which reflect the coupling relationship have been selected out. The research evaluates the coupling relationship between urbanization and regional transportation on the basis of data stem from the city of Chengdu in Sichuan province from 2003 to 2013. The statistical results show the level and developing trend of coupling relationship in Chengdu. In the future research, the effective measures will be proposed for the mutual development of urbanization and regional transportation according to the results of this study.

Due to merging movements of on-ramp vehicles, the characteristics of traffic flow at upstream and downstream of merging area have significant differences. Based on the traffic data collected by loop detector in urban expressway of Shanghai, this paper firstly analyzed variation condition of traffic volume at entire merging area during the whole daytime, and then compared traffic flow characteristics at three different sites (i.e. upstream of merging area, downstream of merging area and on-ramp) based on fundamental diagram. The study found, at merging area of the Inner Ring Expressway in Shanghai, traffic volume keeps in saturating status in the daytime without obvious peak features. The upstream traffic volume can’t reach maximum capacity of normal roadway segment due to early-onset breakdown of traffic flow; on the contrary, downstream traffic volume can achieve maximum capacity without early-onset breakdown phenomenon. Downstream speed-occupancy model mathematically fits well with linear model, while, upstream and on-ramp speed-occupancy models conform to exponential model.

In order to further reduce the cost of road freight transport, the influence of the railway freight transport reformation on Ningbo road general freight transport industry are analyzed based on the review of background and core contents of the reformation. As a result, the railway freight reform will bring more cooperation opportunities than competition, which created new opportunities for Ningbo to build a comprehensive land transport system and the development of logistics services. From the standpoint of cooperation-competition development, multimodal transport and the transformation of modern logistics, countermeasures are proposed for the transport of less-than-truckload freight on road.

Containership slot exchange is a new cooperation strategy allowing participating carriers to seek to benefit from sharing capacities. On the basis of analyzing the characteristics of containership slot exchange and allocation problem in short sea cycle routes operated by liner alliances, this paper considers the uncertainties in revenue and demand then proposes a fuzzy chance-constrained slot exchange and allocation optimization programming model. The model takes marginal revenues and demands of different markets in fuzzy environments as fuzzy variables and aims at maximizing the total revenue of the liner alliance which operates multi-routes. A numerical example is applied to attest the method’s practicability and feasibility. The conclusion suggests that in fuzzy environments, a proper containership slot exchange and allocation strategy can increase the total revenue of liner alliances significantly.

A period of construction developed rapidly has already came up in urban public transport system, and in which urban rail transit is the backbone. Urban rail transit consists of light rail with large capacity and subway. The trend of urban transportation’s development is the division of labor and cooperation of all modes of transportation. Then a development model of traffic integration could be formed. The joins between various transportation modes and rail transit are important links. Joins and coordinators of urban rail traffic system and other means of transportation include two points, that is the links between paths and transfers between stations. This paper mainly conducted studies in aspects of rail link modes, transfer time and transfer distance. And the influence factors and planning objectives of urban rail transit are also analyzed. Taking the subway under construction in Nanchang for example and concrete analysis and evaluation about links of urban rail transit was obtained.

In recent years, with rapid development of the comprehensive transportation system, the contradiction between transportation and energy has become more and more serious; energy has become a constraint to the sustainable development of China's comprehensive transportation system. How to optimize the comprehensive transport system structure effectively and promote the comprehensive transportation system sustained development has become an important problem that urgent to be solved. This paper considers the “energy consumption” as constraints, establish decomposition model to analysis the variation of energy consumption. Research shows that, when considering the constraints, it increases the proportion of rail transport and waterway transport in a comprehensive transport system. Therefore, under the constraints of energy consumption, the system should make planning to realize the coordination of transport modes. Especially, should greatly develop railway and waterway which have low energy consumption and little effect on environment.

Based on the study of development and technical features of piggyback transport abroad, this paper analyzes the necessity and feasibility of developing piggyback transport in China under the new situation of promoting comprehensive transportation system, and focuses on the key problems concerning policies and regulations, vehicles and transportation organization, yard facilities, technical personnel and so on.

Based on prospect theory to analyze walking time, travel time and time sensitivity. Preference survey investigation was used to quantify the affects factors of path choice to build the generalized cost calculation function. According to the cumulative prospect theory to explore the attraction area of urban rail transit compared with other traffic tools. On the surveyed data of a rail transit station. Through a comparison between the traditional walking areas and surveyed data, it is clear that the model is effective and reasonable, and could provide references for the planning, selection and evaluation of urban rail transit.

How to reasonably determine the freight modal split model has always been a hot topic of research at home and abroad. In recent years, while a lot of researches have been made both at home and abroad on the passenger transport modal split mode, researches on the freight modal split model are scarce. Due to the sharp increase of freight demands as well as the theoretical need of the planning for the comprehensive transportation system, the freight modal split model have attracted the attention of experts and scholars. In this study, the expression of the functional relation between various freight volumes and transportation distance is constructed through analyzing a large number of aggregate data regarding different freight volumes and transportation distances among Chinese cities, and the change law of freight modal split with different transportation distance in the comprehensive transportation system is analyzed, so as to provide a reference and basis for the rational allocation of transportation resources and the optimization of transportation structure.

With the development of transportation technology, increasing the degree of intelligent transportation, intelligent transportation affected staff travel is also growing. Fast time-space conversion to personnel changes have an important psychological impact, Especially in intelligent transportation area, the difference of languages and understanding ways between different countries makes a great deal of obstacles. Foreign language teaching is a second language teaching, its goal is to train students for the language skills of the target language and language communication ability. This paper established the architecture and application mode of saptio-temporal metaphor system in transportation engineering teaching internationalization process.

In recent years the Internet of vehicle has been paid much attention as a new development direction of intelligent transportation technology. According to the function requirements of Internet of Vehicle (IOV), a complete set of vehicle’s information terminal solution for Internet of Vehicle has been put forward based on GPRS wireless communication, GPS, on-board diagnostic (OBD), digital voice synthesis and other relative technologies. The hardware embedded circuit and software of control has been designed. Finally, to accomplish the test of hardware circuit and software debugging by experiment in laboratory and on vehicle, and to realize functions which include the vehicle position, wireless communication between vehicle and schedule center, path navigation, voice scheduling, fault detection and so on.

Through detailed analysis of control problem of urban rail transit intelligent transportation system, a distributed hierarchical control method was proposed by blending the factitious division of hierarchical system and the natural division of distributed control system. This method is based on the hierarchical control theory of large scale system, and includes three levels: the organization level, the coordination level, and the execution level. The objectives are decreasing the total delay time and increasing the absorption to passengers of the successive trains, a method for train operation adjustment based on Multi-Agent is developed, and the control strategy based on rules is proposed. The distributed hierarchical control method deals with the train planning, the coordination of trains, and the action control of trains in different layers. The simulation results show the effectiveness of the model and the revised algorithm based on Multi-Agent comparing with the traditional control theory.

Through detailed analysis of train operation control procedure of urban rail transit, in view of the present condition of Fuzzy Neural Network (FNN) in train operation control, a new model of train operation adjustment on the FNN is developed, five levels fuzzy neural network were built and its input and output were designed, the weighing and parameters were revised in order to get different membership function, then corresponding fuzzy rule and could execute fusion decision could be got in the new method. Furthermore, the simulation perception processing of train operation adjustment was completed using Matlab, the mean square error between actual output and experiments output was got the simulation results show that the validity of train operation control procedure of urban rail transit based on FNN.

In ICT environment, more and more information can be obtained. On the basis of analysis of lane changing action, this paper establishes the vehicle lane changing model based on discrete dynamic game. In this paper, the game stages are divided by the lane width, then the stage process between two vehicles and action strategy of each vehicle are described more reasonable by discretizing acceleration of the vehicles, and PICUD is used as the expected return of the income matrix .This paper use the model to analyze the high-speed road vehicles, lane-changing processes and to determine its revenue, to indicate the effectiveness of this model.

The real-time traveling information collecting and distributing systems are important parts of intelligent traffic system. However, the existing information collecting and distributing technology have been unable to meet people’s personalized needs. The wearable technology that rises gradually has been widely used in the fields of medical, military and fashion. This paper applies the wearable technology to the real-time traveling information collecting and distributing systems. The real-time traveling information can be collected by the intelligent steering wheel cover, and is transmitted by wireless communication technology. At last, the information is distributed to users by intelligent watches. So, users can easily obtain the real-time traveling information.

Travel time variability has been considered as an important quantitative measure of bus service reliability. It deteriorates reliability by increasing in-vehicle travel time and passenger waiting time. Less attention has been paid to it due to the lack of reliable data. The problem is being addressed by the use of advanced public transport systems. The paper mainly used the GPS data to explore the form and the extent of travel time variability at different times of the day. The process of data cleaning was built for the characteristics of bus GPS data in Chengdu. The appropriate measures of travel time variability based on the travel time distributions were adopted by the study to make the best use of the abounding data. At last, the paper briefly discussed the factors which might affect the travel time and proposed aims for the further research.

At present, the level of our nation’s information of traffic dispatching system is low. Some dispatching departments did not form a complete and unified dispatching system .This will result in security risks, reduce the quality of services and transport efficiency. Been unable to meet the railway sector under market conditions demand for dispatching, the new dispatching system development is imminent. In this paper, we contrary to the current status of China’s dispatching system, for a brief analysis of its shortcomings and possible impact. Meanwhile, according to market needs, proposed the concept of intelligent dispatching system, combined with China’s specific conditions and customer needs, the existing dispatching system is divided into eight sub again. By introducing RITS overall research program means, Through the demand for internal railway system users dispatching system analysis, and then，complete the intelligent traffic service dispatching system logic architecture and function architecture. Make the system tends to be more complete, and provide some idea of the intelligent railway traffic control system innovation.

With the enlargement and the development of urban areas, the road intersecting with rail line of the factories has become the artery in the city. As the result, the operation of factory rail line has a great impact on the road traffic. In this paper, based on the field data of the railway crossing through Yellow River Road, Fiveone Road and Southwest Road in Dalian, the factories railway line’s influence on road traffic under different operation conditions was analyzed; the relation model between operating parameters and traffic efficiency was established and discussed.

According to the incomplete and uncertain factors contained in the real-time information of traffic incidents, the automatic optimization model of incident response plan was developed based on loop learning Bayesian Network (BN) to support for the intelligent decision-making of network traffic emergency management. The first layer (structure learning) adopted the combination of expert knowledge and the K2 algorithm data training method, the second layer (parameter learning) adopted maximum likelihood estimate of the network parameter optimization methods. Firstly, item data were extracted to transform 19 discrete variables with different factors levels. Secondly, consulting some experts in the field of freeway incident management was applied to representing all the key factors that affect the successful operation of incident. Thirdly, this initial model was built with the method of GTT-K2 (Greedy Thick Thinning). Finally, BNs was optimized and modified according to expert knowledge. The core of the proposed model is a loop learning Bayesian network that quantifies the causal dependencies between incident information and response decisions. The model was validated using incidents data to indicate that the proposed algorithm is reliable and accurate.

With the development of high-speed railway and the advancement of railway informatization, the inconformity of time has an impact on the railway operation management and security management. Following the principle of safety, advanced, practicability, reliability, easy maintenance and expansion, this paper designs the framework of railway time management system based on Beidou/GPS satellite navigation system, In-depth analysis of the internal configuration structure of timing node in Ministry of Railways, rail bureau and train deeply, And designs the main technical solution to provide technical support for the time unification of railway departments.

With rapid development of the high-speed railway and mobile communication technology, the high-speed railway passengers have an increasing demand for mobile information service. The mobile communication network is available in the high-speed railway today, where the mobile network is very unstable especially in the tunnel. With slow downloading speed, the passengers can not enjoy good communication and network service. Therefore, how to provide stable and high-efficient communication and network service in high-speed railway has become an urgent issue to be dealt with today. This paper has made a series research of the network access project in high-speed railway carriage. Through a great number of experiments on chengdu-chongqing motor car, the network access project with the main communication device and the extended communication device (referred to as the main device and the extended device hereinafter) in the double-carriage proposed in this paper can enable Received Signal Strength Indication (RSSI) to achieve a better result and cost saving.

In order to fully realize the potential of Urban Rail Transit (URT) system in maintaining the viability of major cities, one of the key elements—the competency of staff operating the URT system—must be managed effectively. As driverless URT systems have the ability to achieve higher efficiency while still maintaining the required safety standard, more driverless URT systems are being built and operated. When an URT becomes driverless, the operating concept of the URT will become significantly different from that of an URT with drivers as well. This has resulted in new challenges to the management of staff competency for a driverless URT system. This paper started off with discussions of the Competency Curve and then used the driverless Singapore North East Line (NEL) as a study case to examine the two main challenges faced when managing staff competency in a driverless URT context: the manual driving of a driverless train, and the driverless train control in the Operating Control Center (OCC). Strategies towards the handling of the above-mentioned new challenges were proposed based on the experiences gained on the ground.

Passengers usually chose the traditional manual check-in or self-service check-in provided by the airport. Then, to confirm the optimal allocation of self-service check-in kiosks, the paper briefly introduced the current situation of self-service check-in and offered literature review of the research method of self-service check-in. Second, based on the method called ExtendSim simulation, the paper put forward assumptions, simulated process and the quantitatively allocated ways of appropriate number of self-CUSS. Third, taking some airport for example, the paper carried out a study on the passengers’ arrival on some day and poached the passengers by adopting traditional ways and self-service ways. Finally, the article arrived at the conclusion which contained the briefly average queuing time in the different period of time, the most adaptive numbers of self-service kiosks on the highly utilized rate as well as the appropriate number of self-service kiosks in this airport. And the average value could be regarded as the proper number of self-service kiosks that should be equipped in the airport.

Public transport is widely acknowledged as a high capacity transport mode which helps mitigate traffic congestion in urban road networks, reduce fuel consumption and improve air quality. In this paper, a review of the application of internet of things technologies, such as Radio Frequency Identification (RFID), GPS/GIS and GPRS/3G/4G, in public transport system is presented. Thereafter, a newly developed intelligent public transport system with application of Internet of things technologies in Chengdu city is analyzed. The effectiveness of the system is quantitatively analyzed. Results show that application of Internet of things technologies in Chengdu public transport system highly improves operational efficiency and level of service, and reduces total costs of operation and management.

In order to solve the serious problem of traffic congestion, many cities in China are developing urban public transportation systems and focusing on modern trams with the advantages of workload, cost performance and transportation efficiency. Based on analysis of the status quo, problems of tram signal control and operation efficiency, this paper tries to study signal priority control methods for trams under the condition of mixed traffic at intersections, proposed priority control principles of signals based on information perception as well as interaction at intersections, and achieve connection between signal control for trams and the existing urban signal control for other motor vehicles. Through the example application of 17 signal intersections along Suzhou tram lines 1 and 78 around the tramline, the result shows that coordinated priority strategy increases tram operation efficiency and reduces waiting time at intersections. It will provide reference for the reforming of road traffic signal controller and road traffic signals, which are national mandatory standards in China.

In the field of traffic management, the development of traffic information technology has provided the technical support for ITS and has become an important means to the traffic manager, which does improve the government’s administrative ability. This paper will analyze the intelligent transportation development mode of some representative cities in our country on the basis of the necessity of research of intelligent transportation system based on the public service of the big cities in our country, such as Peking Shanghai and Guangzhou through the method of systematic analysis, and advance some research methods for the big cities, and offer reference for the development of ITS in big cities in our country.

Talent accumulation plays a vital role in improving the comprehensive benefit of Intelligent Transportation System (ITS). Based on literature reviewing, this research analyzes the synergistic mechanism between talent accumulation and the effect of ITS. According to the synergistic model, the degree of synergy between talent accumulation and the effect of ITS has been tested by using related statistical data. The results reveals the developing tendency and the level of synergy between talent accumulation and the effect of ITS. In addition, the results have both theoretical and practical implications for strengthening the effect of talent accumulation and improving the comprehensive benefit of ITS effectively.

Traffic flow parameters detection is one of the most critical parts of the intelligent traffic management system in currently. With the continuous development of computer vision and image processing analysis technology constantly development, video detection technology in the traffic parameters testing is more and more attention. Video automatic detection technology utilization of computer vision, image processing and analysis, pattern recognition technology, compared with traditional detection technology induction loop detector, microwave radar detector and magnetometer detector, etc. The video automatic detection has many advantages, such as simple installation, convenient maintenance, not to harm the roadbed, low cost, high accuracy, and wide monitoring area. Firstly, the image sequence can be acquired through the video automatic detection equipment mounted over the road, and then two 2D spatial-temporal images, a panoramic view image and an epipolar plane image, are formed for each lane in this article. By using the methods of constructing a general epipolar plane image model, to reflect the vehicle surface characteristics and movement characteristics of the driveway. Then put forward the texture Canny texture edge detection algorithm of image based on Gabor filter, according to the texture edge detection of three steps: normalization processing, filtering processing and edge texture detection, analyzes the edge texture detection algorithm of epipolar plane image, and provides normalized epipolar plane image, presented the specific calculation method and formula of Canny texture edge detection based on Gabor filter. Finally, according to the graphics after processing, examines traffic flow parameters detection for traffic volume, vehicle speeds and lane occupancy and analyzes summary of the whole algorithm.

Urban freeway, as the important carrier of urban transportation, played the role of skeleton in the urban traffic network. It was of vital importance for the entire road network to induce traffic flow of urban freeway reasonably. Firstly, the traffic guidance strategy of urban freeway based on Model Predictive Control was explored. The strategy aimed at minimizing the total time spend. A dynamic expressway network traffic flow model was adopted as the process model. Finally, a simulation case study was presented under different scenarios. The results indicated that the traffic guidance strategy of urban freeway based on Model Predictive Control reduced the total time spent and improved the operational state with good stability and operability.

Network design is to optimize traffic network system performance by choosing to build or improve road sections under the given constraint conditions. This paper established a bi-level programming model of discrete traffic network design with optimization of environment protection and user goals, and designed a global optimization algorithm for solving the model based on the genetic optimization algorithm. This algorithm is simple and easy to implement, and the corresponding algorithm procedures have been developed in MATLAB platform. The validity of model and algorithm has been tested by Sioux Falls network and the results showed that the model and algorithm can be well applied to medium-sized network.

An effective solution to traffic jam is to develop public traffic. According to GPS vehicle positioning system we get the bus operation data. Then on the basis of the analysis of the current research, we build a more accurate calculation model with extreme value theory, which is used to evaluate the bus running between adjacent sites based on the AVL data and data mining. The effectiveness of the model is evaluated by a computational example using the AVL data of Shanghai’s No.49 bus. At last, we analyze the important role of this index for users and managers, and give some suggestions.

Vehicle Routing Problem (VRP) is a typical problem of urban distribution, multi-depot vehicle routing problem is a complex extension of vehicle routing problem. Reams of existing research of path optimization problems were assuming different customers have connected directly and using the straight-line distance between two points as the distance between two customers, it is possible in theory, but does not meet the reality of the road network structure, cannot be applied to the actual vehicle schedule. In this paper, considering both customer’s location within a specific service area and the actual road network structure, based on actual customer orders, research the optimal distribution path about multiple distribution centers with different types of vehicles, meet the needs of each customer, taking into account the loading rate of the vehicles, so that the total transport cost is minimal. Considering the earliness of genetic algorithm, this paper combines simulated annealing algorithm, using an improved genetic algorithm and experimentally verify the feasibility and effectiveness of the algorithm, showing that the algorithm can be directly applied to the actual vehicle schedule.

Maintenance network planning of RFID facilities is researched considering validity of communication nodes which is a necessary condition for the function of RFID system. Some impacts on the capacity of maintenance network such as number of maintenance resource nodes, coverage radius of maintenance resource nodes and operation expense are considered in this paper. On a certain RFID facilities layout, the maintenance network planning model of minimum the maintenance expense is proposed combining with set covering model constrained as validity of RFID communication nodes. And then the maintenance resource nodes can be determined by heuristic algorithm designed to solve the model. Sensitivity analysis of influencing factors on maintenance capacity is studied by using optimal simulation technology. Experimental simulation results show that the validity of communication nodes had an important impact on the maintenance network planning of RFID facilities. The number and coverage radius of maintenance resource nodes, operation expense of network are more sensitive to maintenance support capacity. Reference approach is offered for the future construction and operation practice of RFID facilities’ maintenance network planning.

This paper describes the construction of BP neural network model which was used to forecast highway Cargo traffic volume and predicts the highway cargo traffic volume in 2013, it was also used to predict the highway passenger traffic volume, railway cargo traffic volume, passenger traffic volume and their corresponding turn over. The purpose is to provide a scientific and objective reference for the construction of terminal layout and scale of investment of highway and railway traffic routes and stations in Henan province.

In this paper, we carried out an experiment to compare navigation time benefit between bus and car. On the same OD (origin and destination) of 4 kilometers, public transit navigation saved an average of 18 minutes and car navigation saved just 4 minutes, time benefit of public transit navigation is about four times than car navigation. Look from large groups as a whole, and bus navigation time benefit will far exceed the car navigation. This paper illustrated that public transport navigation service should be vigorously encouraged.

With the rapid development of urbanization, the number of vehicles increased faster than urban roads in our city. The contradiction between supply and demand of urban transportation is increasingly sharp. Intelligent transportation system is an internationally recognized settlement of the best way to solve city traffic congestion. Traffic flow prediction, a key technology of the intelligent system, is the premise and key to traffic flow inducing and controlling. The intersection is the most vulnerable and most likely to appear problem in urban road traffic. Research on intelligent traffic conditions of intersection traffic characteristics, improve the capacity of the intersection is the key and main task of solving the city traffic problem. Short term traffic prediction model of previous research is still not perfect, low computational accuracy, need a large amount of data, the prediction model of complex, operation time is long, and so on. The grey prediction model has the advantages of simple model, less data is needed and short operation time. In this paper, based on the grey prediction model of these advantages combined with the Markov model, to establish a new method of grey model to forecast the short-term traffic flow prediction, and applied to the intersection of overcoming the insufficiency of the two kinds of prediction method, improve the prediction accuracy, carry on the forecast analysis.

As a new transaction discipline, grey system theory which is an important branch of the science system, is a new method which researches little data, uncertainty and poor information. The grey system theory is based on incomplete information system. It use the perspective of the system to research the relationship of the information and create models. And by the part of the known information, it can extract the valuable and meaningful information—how to use known information to reveal the unknown information. Gray model is the most important element of gray system theory. It is an important part both for the system to predict or control, and to establish the correct and accurate mathematical models. This paper will describe the principles of grey system and steps of establishing GM (1,1) model. Gray modeling theory has been widely applied in various fields such as industry, agriculture, social, economic, etc. This paper will use it to forecast the number of the car and analysis the accuracy.

With the popularity of Automated Fare Collection (AFC), transit operators and planners can make use of AFC data to have a better understanding of travelers behaviors, such not only provide meaningful guidance on public transport planning, but also for transit operators provide better services put forward a clear direction. In this paper, the main use of Chengdu on November 2nd to 8th one smart card. Using data mining technology to analysis the spatial and temporal regularity of students. Travel regularity analysis mainly include frequency of use, time of boarding, boarding intensity. This research shows that in a period of time, frequency of use, time of boarding and boarding intensity of student card presents regularity.

Intelligent transportation system, as a new technology and management system, has been a hotspot and frontier in the traffic research. In addition to the application of intelligent transportation system in road traffic, waterborne, aviation, it also played a huge role in the “high security, high efficiency, high service quality” railway transportation, the railway intelligent transportation system (RTIS). Paper starts from the connotation and essential characteristics of railway intelligent transportation system, and its core technology, development model and strategy, then analyses the main body by the user, the service main body, service framework, logic framework, physical framework and economic and technical evaluation of several parts of the system framework of railway intelligent transportation system theory. Then, we analysis foreign railway intelligent transportation system from the aspects of improving the service quality, enhancing the safety of railway transportation, and improving the efficiency of railway transport. After that, the paper introduces the application technology of railway intelligent transportation system in the domestic, such as the transportation management information system, train dispatch and command management information system, automatic train identification system and railway ticketing and reservation system. Finally, we combine with the application and development of domestic and foreign railway intelligent transportation system and the analysis of the future vision of rationality in order to meeting the needs of different users and play its biggest role.

This paper discussed the methods to build up multimodal military logistics transportation networks, defined the topological structures of two-dimensional combined transportation networks without multiple edges and the expression of transportation networks’ attribute values. A route optimization model for multimodal transportation based on military supply was established, which turned out to be a high-order model due to the fact that safety attribute was a multiplicative parameter. To solve this problem, this paper proposed two improvement methods, respectively simplifying the original non-linear high- order 0-1 programming model into second-order 0-1 model and linear 0-1 model, which made it far less complicate to get the solutions. For further demonstration, this paper chose a case scenario which involved 74 nodes for simulation analysis, using Lingo 9.0 for programming to get the solutions of the high-order model, the second-order model and the linear model. The consistent results proved the models’ correctness and feasibility in getting solutions. It was specially worth noting that the improved linear 0-1 programming model was able to get real-time overall optimum solutions, demonstrating very good real-time performance, stability and solution-getting ability.

Logistics network assignment problem is an important research field on logistics optimization. According to user equilibrium theory, The equilibrium assignment framework of logistics network is a basic problem for it. The framework structure of logistics network consisted of carriers, logistics service providers, the shippers, and the modified wardrop user equilibrium of logistics network is proposed. Based on the modified UE condition, the optimum condition/equilibrium status of carriers, logistics service providers and the shippers in the equilibrium situation are analyzed.

The paper focuses on the research of green logistics. It studies on how to constructing a green logistics system in the Pearl River Delta in detailed. It points out that only constructing an effective green logistics system in the Pearl River Delta can improve the overall development level of logistics in this area. This paper gives some suggestions on how to build a green logistics system in the Pearl River Delta in order to improve the development of green logistics. These suggestions may be include as perfecting green logistics legal system, constructing comprehensive transport system, improving green logistics technology and so on.

This paper proposes a new method which fully considers the interests of logistics planning department and the clients. This method can define the initial solution of the Bi-level programming model by gravity model, and simplify the calculation of bi-level programming model. The numerical experiment results show that the proposed method are feasible and effective.

The manufacturing enterprise logistics is the most important part of logistics service, therefore it is of great significance to choose a reasonable logistics mode to optimize logistics activities in manufacturing enterprise. According to the results of all index evaluation on alternative logistics modes in semantics given by the experts, this paper proposes a logistics mode evaluation method based on group two-tuple linguistic and grey relational analysis. This method overcomes the defect of information distortion and loss caused in information integration and calculation. Finally, results from numerous examples show that the method presented in this paper is feasible and effective.

Suppliers do not always choose the buy-back contract to achieve coordination facing with different return logistics costs. In this paper we discuss the impact of return logistics cost on supply chain coordination and effectiveness of supply chain members based on the classic newsboy model. When the retailer and the supplier have the same return logistics cost, three kinds of buy-back contract models with return logistics cost burdened by the retailer, the supplier and both parties are respectively discussed, and these three cases achieve the supply chain coordination with the same optimal quantity. When the retailer and the supplier have the different return logistics cost, we propose the member of supply chain who has lower return logistics cost undertakes the return delivery to achieve the supply chain coordination.

This paper takes chemical company an the research subjecet, the purpose of the study is the third party logistics supplier selection of chemical company. This paper establishes an evaluation index system of chemical enterprises of third party logistics providers based on the study of logistics provider selection. The index system includes the the enterprise strength, the quality of service, logistics cost and service capability., including 14 detailed indicators. this paper put forward some problems in the cooperation in order to improve the performance of logistics service providers and improve the market competitiveness of chemical company.

This paper brings forward the third party logistics cost management performance evaluation system, choose the transport department, storage department, information department and management department as one class index for the performance evaluation, in the foundation of one class index, choosing the appropriate level 2 index, constructing cost performance evaluation system, analyzing the logistics cost management performance.

Today, strategic alliance of global logistics is considered as a new device to raise business profit and manage contemporary logistics resource effectively. This paper will give an idea of global logistics strategic alliance in general and point out its roles in contemporary logistics and supply chain.

Briefly, introduce Flexsim and a distribution center. Then, using system modeling and Flexsim to make the analysis of the distribution center. Finally, optimize the system through eliminating bottleneck and improving the equipment configuration and utilization rate.

The problem of automotive components supply on mixed-model assembly line is more complex due to the diversification of customer demands. The process of automotive components of synchronous supply is analyzed in the paper. This paper presents a synchronous supply model of the automobile mixed-model assembly lines at the assembly plant based on time window, in which the shortest total transport distance is adopted as the objective. Finally the paper gives an example. And the result of the example indicates that this model can realize synchronous supply from material buffer points to the workstations at the assembly plant within the required time. And it is helpful to improve the efficiency of automotive components supply.

Aim of the study is to build a VRPTW to improve the recovery of medical waste in China. Both capacity limit and duration time are considered to meet the characteristics of medical waste that it is time-sensitive in the recovery process and enhance recovery efficiency. The model is solved by using improved genetic algorithm (GA), which can avoid dropping into local optimum by adding reverse evolution operation after crossover operation. Finally, the real-world data are collected from 30 medical units and the results show that managers just need to two vehicles to satisfy their demand and the loads and recovery time of each vehicle are 2265kg, 1935kg and 1.5979 h and 3.2532 h respectively. The travel paths of each vehicle are also scheduled.

Based on the analysis of the characteristics for fresh agricultural produce supply chain, disruption risks in fresh agricultural produce supply chain are divided into three categories: farmers’ production risk, operating risk and demand risk. This paper proposes two main risk managing strategies: horizontal alliance strategy and vertical alliance strategy. Horizontal alliance strategies contain farmers’ alliance and operators’ alliance, and vertical alliance strategies have four models: farmers’ alliance-supermarket, farmers’ alliance-wholesale market, base-supermarket and base-operators’ alliance. This study is instructional for all members in fresh agricultural produce supply chain in China, and is helpful to improve the ability of defending disruption risks and dealing with disruptions.

With the rapid growth of catering industry, people pay more attention on the food security which have close relation with the management of cold chain. It is vital for the development of cold chain to establish trust mechanism between supply chain numbers, such as farmers, suppliers and catering company. Depending on the analysis of single game, finitely repeated games and infinitely times repeat games between cold chain members, we can draw conclusions as follow. The members of cold chain will choose to keep faith with the aim of ensuring trust mechanism. Suggestion was shown at the end, such as increasing the interests of the trust, default cost and the discount factor, perfecting the information found, making share with information, keeping effective communication and establishing the standard contract.

Macroscopic logistics costs accounting takes on important significance in enacting scientific and reasonable logistics policies and promoting the quality and efficiency of national economic operation. Current macroscopic logistics costs accounting which does not consider the environmental costs of logistics fails to quantitatively reflect resources and environment losses which have been caused by logistics activities. Based on the idea of sustainable development of logistics and the theory of value of environmental resources, this article, on the basis of China’s current accounting mode of macroscopic logistics costs, proposes the composition and accounting method of macroscopic logistics costs from an environmental perspective.

Site selection for network nodes in closed-loop military supply chain influences many others functional strategies of supply chain network, such as transportation, distribution, inventory, recuperation and recycle. This paper seeks out the proper method of site selection based on the characters analysis of site selection in closed-loop military supply chain network, and proposes an improved TOPSIS method that combined with entropy weight. What’s more, through the analysis it could find that the entropy weight calculation manner is simplified to improve the efficiency of site selection in closed-loop military supply chain.

Port is a major junction in the physical distribution as a base being utilized. It is a contact of maritime and land transport and essential platform in production, trade, distribution and exchange of information as a node of supply chain system crossing each port. Moreover, it has to give competitive advantage to shipping companies and shippers using port which has a significant impact on the national economy of the departure and arrival country. In this paper, using multiple regression analysis, social network analysis (SNA) and data envelopment analysis (DEA), this study examines effect of the network centrality in port and port efficiency on the throughput of Korean and Chinese container port. As a result, network centrality index, relation between degree, betweenness centrality index and throughput were correlated.

Expounding the problem of urban logistics nodes synthetically, the article proposed a space model for urban logistics nodes aiming at the sales logistics distribution network. The sales logistics distribution was divided into two stages distribution with different characteristics in this model, which reflected the generality and representativeness of the model. On the base of it, the article proposed optimization algorithm according to the two different distributions and discussed the solution.

The abstract problem of cold chain logistics system fault is crystallized and its Fault Tree is constructed according to operation features of various functional parts and the causal relationship between events in cold chain logistics system by borrowing ideas from reliability analysis in Reliability Engineering Theory. Bayesian network based on the fault tree has been generated, in order to estimate the operation reliability of cold chain logistics system and reveal the main reasons resulting in the system faults. It could provide a quantitative basis for improving the operation reliability of cold chain logistics system. The expected effect has been achieved via applying the method proposed into the operation and management of a Third-party cold chain logistics enterprise.

Nowadays, the level of China’s theoretical research on pallet pool system is behind its practical operation. Compared with the developed countries’ relatively perfect pallet pool system, pallet pool system in China is still on the initial stage. In the subsystems of pallet pool system, order management subsystem as information disclosure and issuing system for platform has the great significance of research. Here, two aspects of order management subsystem are analyzed. Firstly, business requirements of order management system are put forward. Then, it’s functional requirements are cleared by UML.

As an important part of Mianyang logistics system, Yanting logistics’ scientific nodes planning, not only will promote the rapid development of towns and villages’ logistics in Yanting, but also will become an important link in connecting urban and rural logistics. In this paper, an optimal logistics nodes assessment framework is presented based on the analytic hierarchy process (AHP) and the fuzzy synthetic evaluation method, on the basis of extensive field study in Yanting. Urban planning logistics system node has a certain theoretical and practical significance. The main contribution of the proposed framework is that it presents a robust method for prioritization of logistics nodes to create a rational planning and to set realistic goals.

In this research paper, a coordination problem has been investigated by considering a single supplier and a single retailer who have different risk attitude in two-stage supply chain. First, we quantify the risk attitude for members of the supply chain with Prospect Theory and establish a supply chain optimal inventory control model with revenue sharing contract. Then we obtain the results of parameters range (revenue-sharing contract) in different risk attitude combinations and use Matlab for numerical example to verify the conclusions. The analysis suggests that revenue sharing contract can coordinate the supply chain and control the supply chain inventory within a reasonable range considering risk attitude.

The study investigates the optimal ordering policies of two competitive retailers, one is risk-neutral, another is loss-averse. Because of different scale and credit, Risk-neutral retailers aim for maximum expected profit, while loss-averse retailers targets maximum expected utility. We establish the optimal ordering policies model for the two kinds of retailers whose demand is random and alternative, And proved the existence and uniqueness of the optimal order quantity. Then we carry on the mathematical experimentation with the uniform distribution function, The analysis revealed that when the degree of retailers’ lose-averse coefficient increases, their optimal volume of ordering is reducing, while the corresponding risk-neutral competitor’s optimal volume of ordering is increasing. But their total volume of ordering is reducing, The scope is becoming slower; when the risk-neutral retailers’ wholesale price is falling, their optimal volume of ordering is increasing, while the corresponding the lose-aversion’s optimal volume of ordering is just the opposite. But their total volume of ordering is increasing, The growth is becoming slower too.

Scraped cars are important renewable resources. In order to improve the recovery rate of Scraped cars, it is necessary to build a Scraped cars reverse supply chain of high efficiency and benefit, and it needs participants of supply chain to realize the organic integration collaborative development of resources, technology and information through the relevant contract mechanism. Interest distribution mechanism is a kind of important contract mechanism. This article builds model of profit distribution of the scraped cars reverse supply chain using improved Shapley value method which considers the risk sharing, which is based on the analysis of the Scraped cars reverse supply chain. Also, this article analyses and verifies the model through a numerical example.

The Implementation of green supply chain management (GSCM) is important for the sustainable development of enterprises, while the internal factors affecting the implementation of green supply chain management includes organization structure, resource ability and the performance of enterprises. In order to depict the mechanism that these internal factors affect the diffusion of GSCM within enterprises, this paper built a theoretical diffusion model of GSCM within enterprises. It concluded that: (1) As the network scale grew bigger, diffusion speed between the green supply chain management in the enterprise will reach a steady state with a decline in periodic fluctuations; (2) The increase of the mutual influence of upstream and downstream enterprises of the supply chain is conducive to the spread of the green supply chain management; the more competitive industry is not conducive to the spread of the green supply chain management; (3) The government, the media and non-profit organizations sped up the rate of diffusion of green supply chain management, but did not increase the diffusion steady state; (4) Enterprises under pressure can promote the spread of the green supply chain management.

The unscientific and imperfect market access system of logistics enterprises in China has become a bottleneck for the healthy and fast development of modern logistics industry. Presently, the market access system of logistics enterprises has the characteristics of low level of legislation, lack of operability and reasonability and lack of differentiation in legislation. Through comparison between the National Road Transport Regulation and Provincial Road Transport Regulation, the author holds that the provisions in the Provincial Road Transport Regulation have their reasonability, yet need investigation into their legitimacy, and the National Road Transport Regulation should appropriately elevate the market access threshold for logistics enterprises. Therefore, the article investigates the establishment and consummation of the market access system of logistics enterprises from the aspects of enacting a slip law – Logistics Law, consummating existing rules and regulations and establishing a differentiated market access system.

The construction industry is one of the Chinese pillars of national economic development industry. Construction materials is known as the foundation of the construction industry, and the supply chain costs of construction materials account for a large proportion in the whole construction project, so reducing the supply chain cost of construction materials has become an inevitable trend in the reform and development of construction industry. This paper adopts the method of the supply chain operations reference model and is guided by the vendor managed inventory (VMI) philosophy to model the construction materials supply chain based on each kind of construction materials, include stock, standard and customized construction materials. Comparing with the traditional inventory management in construction industry which means every enterprises in the supply chain only cares and manages the inventory of its own, under the VMI the flow of information is more clear and direct, and suppliers in the whole supply chain, combining with the actual needs can develop more efficient inventory procurement and delivery plans resulted in saving the unnecessary waste and duplication. This study can provide basis for future developing information system in construction industry.

Elaborating a distribution model type which is “station-to-door” or “door-to-station” under the background that market of express delivery is developing rapidly and the reform of the rail cargo. Then we analysis the advantages of independent management distribution model and collaborative business distribution model. And determining the distribution model for CRE based on the comprehensive evaluation method and entropy method. The paper also analysis what the corporation needs when the corporation chooses collaborative business distribution model. Finally, the paper analysis income-distribution of each collaborative logistics companies based on Nash income distribution model.

We examine the decision problems for one retailer and one manufacturer in a supply chain under the influence of governmental via carbon tax policy and subsidy financial instruments, in which manufacturer produces two kinds of products to a retailer, and the retailer resells them to the customers with price dependent demand. The two-stage game-based models under three different carbon tax policies are constructed to formulate the aforementioned decision problem in a supply chain. Comparison analysis for pricing decision models under different carbon tax policies is performed and some managerial insights are drawn. At last, a numerical example is given to demonstrate the effectiveness of the proposed models and conduct sensitiveness analysis. The impact of manufacturer’s production costs, government carbon tax and green subsidy on the profits of manufacture, retailer and supply chain is analyzed.

Rational planning and improvement on the operational efficiency of the logistics park depends on the precise of definition of the radiation scope of the logistics park, but there is still a lack of scientific and accurate theoretical method aiming at solving the definition of the radiation scope of the logistics park. Based on the traditional space division model such as potential model in the economic geography as well as giving full consideration to the important role the transport network playing in the logistics activities, the accessibility was introduced into the traditional potential model based on the Euclidean distance metric to modify the distance parameter, and the method of defining the radiation scope of logistics park based on applying the accessibility analysis to potential model was proposed. Finally, on the basis of GIS software, this method was used to define the radiation scope of the five logistics parks of the similar type in Sichuan province. It proved that the application of this method based on GIS software had the advantages of the scientific accuracy as well as the easy acquisition and operation of data, which reflected the higher application value.

It studies the location-allocation problem of maritime emergency supplies repertories under the joint of government and enterprises. A bi-level optimization model with the objective of minimizing cost is proposed, the first level model solves the location-allocation problem of maritime emergency supplies repertories; the second level model solves the distribution of emergency supplies in the alliance based on the results of first level model. In view of the model, it designs a genetic algorithm with elite reserve strategy. The numerical example results indicate that the model and the algorithm are feasible.

Express logistics by means of high-speed railway faces challenges, such as the lack of infrastructural facilities, freight transportation limits, low efficiency of upstream-downstream industries and the furious competition of logistics industry. Considering the factors of regional differences, misallocation of resources and income levels, we designed the follow three operation modes for high-speed railway logistics: completely-opened mode, agent-cooperated mode and self-employed mode. The fuzzy synthetic evaluation based on set-valued statistics was applied for evaluating and choosing the three modes. This led us to the conclusions. First, the completely-opened mode is suitable in the areas where logistics market saturation and maturity are high. Second, outsourcing the distribution business is the best choice in the areas where its’ distribution resources are insufficient, high-speed railway organization should cooperate with the local logistics agencies. At last, the self-employed mode is suitable only in this case that business outlets, transportation network, logistics center and logistics information system and other resources of high-speed railway organization are extremely sufficient.

In order to reduce the logistics cost of manufacturing enterprises and improve the utilization efficiency of warehousing and customer satisfaction, this paper researched enterprise’s sales and delivery process according to the related theory of process optimization. In this paper, the existing business processes of the company and work flow chart are demonstrated. Problems in this process are brought up including forklift’s whilst distance increased and unbalanced utilization rate because of lacking of loading platforms by using value chain analysis method. ECRSI optimization approach is employed to improve this problem, instead of existing separated loading port, the U-shaped loading platform have been added to assist sales and delivery process. Extendsim is used to contrast and evaluate simulated pre and post optimization sales and delivery processes. The results show that cargo area’s average waiting time, average queue length, maximum waiting time and maximum queue length are greatly reduced compared with existing process; The backlog of goods and congestion in cargo area has improved significantly; forklift’s utilization rate is more balanced and the total efficiency improved significantly. The optimized sales and delivery process will help to improve enterprise’s comprehensive competitiveness.

The material input and output dynamic process of iron and steel enterprises is made up of the procurement process, the production process and the sale process, and the procurement process running success or not will directly affect the enterprise final product pricing and the whole profit of the supply chain. This paper is based on the basic principle of ABC method, procedure, standard and analysis process. On the base of a detailed investigation of a certain iron and steel group logistics management process, I explore and find problems that exist in the current iron and steel enterprises procurement process. To solve these problems, the article uses ABC method to reconstruct the purchasing process of iron and steel enterprise, and chooses the performance evaluation method to evaluate the re-engineering of purchasing process, next step analyze the economic benefit of iron and steel enterprise. The results shows that the re-engineering of procurement process based on ABC method can improve the flexibility and robustness of the iron and steel enterprise, and ensure the timeliness and the quality of the supplying raw material, improve the ability of the enterprise internal work together. It also can significantly enhance the core competitiveness of the enterprise.

Compared to the general logistics, the cold chain logistics is more expensive and the cost structure is more complex. It plays an important role in logistics. The importance of the logistic cost determines that it must be as accurate as possible, which requires higher requirements for accounting methods. In order to carry out cost accounting better, this paper uses activity-based costing and multistage mode, assembling the indirect cost into operations according to resource driver, forming the ABC library. The cost allocation rates are determined by the activity driver. The cost in the ABC library is assigned to various cold chain logistics service according to the cost allocation rates. In this way, we can obtain the cost object, which is the indirect cost of the third-party cold chain logistics services. Based on activity-based costing, this paper establishes a cost accounting model for the third-party cold chain logistics enterprises. Apply this model to one of the third-party cold chain logistics enterprises and analysis the cost accounting. Research results show that cost accounting based on activity-based costing is more accurate, truthful and objective compared to traditional cost accounting methods for indirect cost. The cost method is conducive to control cost effectively and to make better decisions for enterprises.

Considering the financial feature of logistics enterprises, this paper discusses the uniform credit financing mode that allows banks and logistics enterprises to have comprehensive cooperative relations based on the existing inventory financing products. Introducing the idea of “two sides decide the market”, the paper analyzes the problem of income distribution in the capital supply chain that consists of commercial banks, logistics enterprises and loan enterprises. In the contract, this paper uses Stackelberg game theory of complete information to analyze the behavior of banks and logistics enterprises, and then applies backward induction method to get the risk bearing rate of logistics enterprises, the loan-to-value ratio and bank lending rate. The result indicates that, under uniform credit financing model which depends on logistics enterprises to determine loan-to-value ratio and banks to determine lending rate accordingly can expand the demand of financing market and create more benefit for all participants. Finally, the sensitivity analysis of small enterprises’ compliance rate and pledge’ realizability demonstrates that the interest relationship in the model is compatible with the reality.

Under the background of development of international trade in Sichuan province, Sichuan province is actively developing international logistics to raise trade. International logistics demand, presents obvious growth in recent years. In this thesis, from both the macro (economic, policy, industrial, etc.) and micro (logistics, transportation operations, etc.) levels, using the method of gray correlation analyze the influencing factors of international logistics demand. Then, calculate the correlation between influencing factors and international logistics demand. Secondly, according to current situation of international logistics development of Sichuan province, analyze the trends and causes of international logistics demand change of Sichuan province and on the brief analysis of the future development trend of international logistics in Sichuan province.

The location selection of logistics distribution center is of important strategic significance to optimize modern logistics system. This kind of algorithm based on GIS and genetic algorithm is established on the basis of analysis of traditional location selection algorithm of logistics distribution center. First of all, the elementary logistics distribution center selection and its influence factors are determined. Then influence factors of location selection are analyzed by means of GIS spatial analysis techniques and a serial of candidate sites are obtained. Finally, the best logistics distribution center location was obtained on the basis of genetic algorithm. With the development of modern great sports event, it has been focused on the politics, economy and culture to great sports event. The sponsor takes importance on how to hold the great sports event successfully. So this paper studies on the location selection of great sports event logistics distribution center in combination with GIS and genetic algorithm by means of the method of theory model and example analysis. The conclusion is that the location selection of great sports event logistics distribution center based on GIS and genetic algorithm can benefit to the development of modern great sports event and provide some valuable reference theoretically and practically and shorten the cost of great sports event logistics.

In order to clarify the relationship between port logistics and economic growth, based on data of port logistics and economic development in Ningbo from 1990 to 2013, the dynamic correlation and causality between Ningbo’s port logistics and economic growth has been analyzed via co-integration and Granger test. The empirical results reveal that there is a long-run stationary relation between port logistics and economic growth in Ningbo; and a unidirectional causality between the both, namely, both cargo throughput and container throughput of Ningbo port are Granger causes of economic growth, and container throughput is Granger cause of cargo throughput, not vice versa. According to the experimental results, conclusions and suggestions are put forward from the sustainable level.

Following network popularization, many researchers paid more and more attention to the development of Electronic Commerce in twenty-first century. They hope make greatly development for goods flow and information flow which consist of factory, supplier, retailer and users which develops the management of the net information so as to make up an efficient supply chain management. The paper introduces the technique about J2EE and JADE which is needed in the system. The paper also described the mechanism of the Agents in detail. The paper also described the mechanism of the Agents in detail. Moreover the paper describes the methods of the integration of the JADE and J2EE. The paper designs the logic design of between the J2EE and JADE and the way from the client to the Agent. Methods using JADE and J2EE technology of realizing the combination of supply chain management system of Agent technology based on the development work of chain enterprises.

Track geometry state is one of the important indexes to measure the comfort and stability of train. However, large amount of field data analysis indicates that the mile mismatch exists in different measurement of track geometry data in the same track section, which may cause a great adverse impact on analysis and mastering the development rules of track geometry. To solve such problems, a mile mismatch correction method based on the identification of curve characteristic and track geometry data characteristic is proposed. First, according to curve characteristics and the corresponding response on track geometry data while train passes, the mile error between track geometry data and curve can be calibrated. Then, in association with the method of least-squares and dynamic programming, a mile match calculation model is built and used to match the miles of track geometry data inspected at different time in the same section. The mile match method is developed by MATLAB and tested by track geometric data from several railway lines. The practice results show that the method is accurate, efficient and reliable.

Besides small radius curves and rail joints, railway turnout is one of the weak parts of railway track structure. Due to its complex geometry linetype, turnout becomes one of decisive factors to define the speed that is possible by means of the diverging route of the turnout. A sophisticated system was developed, which could effectively complete the turnout geometry linetype design and drawing. The foundational theory and the method applied in this system were described and illustrated respectively in this paper, the structure and the functions of this system were explained in detail. This system can achieve the calculation of turnout plane parameters and the drawing of its geometry linetype accurately and rapidly, so it improves the design quality and efficiency greatly.

In order to realize the transient analysis of track circuits, the general solution of current and voltage of each rail to earth are obtained from the Laplace transform of track circuits transmission equation. In the condition of sending end and receiving end of track circuits with arbitrary impedance, the receiving end current and voltage solution in time domain are obtained by the Laplace inverse transform. With difference of ballast resistance, frequency, transmission distance and signal resource type, the transient response of current and voltage in receiving end are simulated. It shows that the solution in time domain conform to the transmission characteristic of track circuits and provide a novel method to realize transient analysis of track circuits.

In accordance with the theory of accident cause and system safety, this paper systematically analyzes various risks in subway station construction and divides them into four categories. They are: (1) risks of construction environment (including architectural complex environment, hydro-geological environment, meteorological environment, traffic flow, etc.); (2) risks of construction technique (including deformation monitoring, special safety program, safety disclosure, etc.); (3) risks of construction organization (including personnel, safety system, safety mechanism, safety culture, etc.); (4) special risks (including template, scaffold, support, electricity, hoisting, towering machine, etc.). Moreover, the paper analyzes and determines the methods and standards to judge the severity level (including slight, great, serious, very serious, and disastrous) and probability level (including very likely, likely, occasional, unlikely, and very unlikely), to research the method of calculating every single risk value r_i through consequence rating a_i and probability rating f_i of each risk accident. On this basis, it considers using risk weight (w_Ri) and expert weight (w_Ei) for comprehensive evaluation of project risks. Additionally, the paper explores the method of applying the results of project risk evaluation and studies reasonable application of the project’s single risk ranking management, dynamic management of risks, and integrated assessment value of risks. By taking People’s Square Station of Metro Line 1 in Shijiazhuang City, Hebei Province, China for example, the paper applies expert scoring method and analytical calculation method to analyzing single risk and evaluating the project’s comprehensive risks, which is of great significance to safety management and risk control in similar subway station constructions.

Since the uneven settlement and the variation of the track stiffness are inherent problems of transition zones, the construction of the shield tunnel in the vicinity of the transition zone may aggravate the track geometry deterioration, maintenance demand and poor ride quality. In view of the importance of the problem, the influence of the shield tunnel construction on the subgrade uneven settlement is investigated. Results show that the reinforce treatment of the foundation is required and the recommended treatment measure is appropriate to control the uneven settlement of the subgrade in the vicinity of the transition zone.

Build a dynamic analysis model about the coupling system of the vehicle and the underframe suspension structure. Different combination methods are employed in order to analyze the random vibration of the interior suspension structures of underframe structure, then 2 kinds of analysis model are built: the first one is the traditional analysis model of which elastic combination is ignored between the interior suspension structures, the combination are considered to be rigid combination; the second one is the model of which elastic combination is considered between interior suspension structures. In this paper the example is a structure of the traction converter under the car-body of high-speed train and the eccentric load of the electric machine installed in the structure of the traction converter is simplified and applied on the rotor spindle of the electric machine. The railway vehicles accurate random vibration analysis method is employed to analyze the random vibration on the 2 kinds of the analysis model. Calculated results indicated that the stress of the traction converter mainly focus on 3 frequency band that are 2 Hz, 6 Hz and 60 Hz, correspond respectively the mainly vibration frequency of the car-body, rigid-body vibration frequency of the traction converter caused by the suspension stiffness between the car-body and underframe and the basic frequency of the eccentric load of the electric machine which is considered as the most significant impact. As the rubber damper is employed at the combination between the suspension steel beam and case in the traction converter the dynamics index of vibration and stress of the first one is superior to the second one which the rigid combination is employed and the impact caused by the eccentric load of the electric machine is obvious attenuated.

According to the CRTSII bi-block ballastless track structure commonly used in high-speed railway, a 3D finite element model of CRTSII bi-block ballastless track structure on viaduct is established. Then characteristics of vertical displacement of the rail in frequency domain and dynamic responses of the ballastless track structure can be obtained by transient dynamic analysis, based on the finite element software (the speed of the train are 200, 250, 300 and 350 km/h respectively). Analysis results show that: (1) Without considering track irregularity, the frequencies corresponding to the peak of the vertical displacement of rail are approximately equal to the multiples of v/L_a, so the peak frequency can be adjusted by changing the speed when the length of a train is certain; (2) The vertical displacement of the track slab is less than 60% of the rail, and its vertical acceleration is only 2.1%, showing that fasteners play a good effect on reducing vibration; (3) Without other damping measures except fasteners, the vertical displacements of the track slab, supporting layer and viaduct are very close, but their vertical accelerations are some different; (4) The speed of the train has a great impact on the vertical acceleration, and the maximum vertical accelerations of the rail, track slab, supporting layer and viaduct at 350 km/h are 1.68, 1.82, 1.96, 1.65 times of 200 km/h respectively; (5) The vertical compressive stress of the track structure has a turning point.

In maglev engineering, the control network for monitoring function modules’ deformations is the basis for accurately measuring the absolute position of the maglev guideway beams and the function modules. It is also the theoretical foundation for adjusting the guideway beams’ position after operations. This paper introduces control network (CPIII) and demonstrates the feasibility of control network (CPIII) applied in monitoring deformations of function modules on guideway beams after the maglev project being operated, considering the main technology requirements and the layout features of control network (CPIII). Aiming at the special construction of function modules and providing that their measurement accuracy is ensured, the bury positions of function modules’ location marks and measuring methods are specially designed. The bury positions of function modules’ location marks and the layout and the measuring methods of the control network which monitors function modules’ deformations were proposed.

Tunnel Intelligent Transportation Systems is an important part of highway intelligent transportation. Ventilation control of superlong road tunnels is mainly automatic control supplemented by manual control, which aims at maintaining good visual environment inside the tunnel with minimum power consumption, controlling the air pollution status within the prescribed permissible range and dealing with fires in a prompt and effective way. This study focus on the control strategies and methods of the highway tunnel ventilation systems, including axial fan, jet fans and other controlled object, and obtain highway tunnel ventilation intelligent control technology.

In this paper, a comparison analysis using FEM calculation was carried out regarding three kinds of anti-slide pile, i.e. the common one, the box-type reinforced concrete one and the box-type one with vertical prestressed tendons, showing that the displacement and positive bending moment of the pile with vertical prestressed tendons are smaller than that of the rest ones under 2000 kN landslide thrust, with slight increases of negative bending moment on both ends, indicating that it has obvious advantages in resisting displacement and bending during landslide control; on this basis, the layout patterns of the prestressed tendons were optimized by comparing the 5 types of layout option, and negative bending moment and shearing force of the box-type pile with vertical end-curve-arrangement prestressed tendons were found to be smaller than that of the rest ones, while the maximum positive bending moment and positive shearing force on the sliding surface remaining the same, proving that it is more scientific, reasonable and appropriate for landslide control; a loading simulation was conducted, showing that the prestress shall be applied appropriately. Combined with the inherent structure characteristics and internal vertical end-curve-arrangement prestressed tendons, the landslide stability is improved for box-type pile.

The remaining life is usually taken into account for pavement maintenance or reconstruction. To determine the optimal reconstruction time of a certain composite airport pavement, the authors used 3 kinds of methods to predict the remaining life, respectively based on a former Federal Aviation Administration (FAA) design standard called as Layered Elastic Design Layered Elastic Design Federal Aviation Administration (LEDFAA), Airport Pavement Design Method of China (APDMC) and Pavement Condition Index (PCI) regression model. According to the in-situ data of Heavy Weight Deflectometer (HWD), PCI and air traffic volume in the past several years, the pavement remaining life of the composite airport pavement was predicted using the above three methods. The prediction results and their comparison are presented as well.

This paper offers an integrative approach to evaluate factors contributing to efficiency and flexibility of the Russian section of the Eurasian Continental Bridge and examines characteristics that should be focused on to improve both. A survey approach was used to evaluate the efficiency and flexibility characteristics of the Eurasian Continental Bridge. Multistage stratified random sampling approach was adopted to sample respondents. The evaluation was based on analysis of railway transport characteristics in the Russian section of the Continental Bridge. Findings were that the characteristics related to information system, physical distribution, logistics processes and transport service delivery have significant impacts on efficiency and flexibility of the continental bridge. Main Conclusion from the analysis was that to improve efficiency and flexibility levels practitioners and policy makers should focus on the characteristics. The findings of this research will be valuable in realizing the most efficient, flexible and cost-effective railway transport improvements.

Reinforcement corrosion caused by chloride is one of the major reasons of reinforced concrete durability failure, and chloride in RC railway bridge is mainly derived from marine environment. Therefore, a resistance degradation model of axial compressed structure calculated on bearing capacity limited state is established against the background of the marine environment, considering the deterioration of reinforcement and concrete. Consequently, durability assessment of a coastal railway bridge pier is made by way of the reliability calculation program.

High embankment with geogrid can restrict the deformation and improve the strength and stability of soil. In order to study the characteristics of geogrid reinforced high embankment, the stability based on geogrid reinforced high embankment project of Hebei province and compare reinforced embankment under different conditions by using the FLAC^3D and analyze the mechanism of reinforced embankment were studied in this paper. The results show that the maximum deformation happened in the center of high embankment, and relatively small deformation appear at the edge of high embankment. The interface friction angle the greater the better, it can make the better friction between geogrid and soil, and could reduce vertical additional stress within a certain depth. Geogrid can improve the redistribution and decrease horizontal stress and vertical stress of reinforced embankment. Plastic zone appears the slope angle at top and bottom of the slope. Stretching damage of plastic region of embankment is located in the bottom of the embankment, tensile failure occurs in the slope of top of the embankment, shear failure and tensile failure appears at the bottom of the embankment.

In order to investigate ambient temperature and vehicle loading influence on asphalt pavement rutting development, ABAQUS is utilized to build pavement structure three-dimension model. Based on the actual temperature data, heat transfer theory, creep model and 3-D finite element method, the temperature filed variation law in pavement is calculated. And asphalt pavement rutting developments under different vehicle loadings in different ambient temperatures are analyzed. The results indicate that pavement rutting develops nonlinearly as ambient temperature varies; the rutting developing rate under high temperature condition is much higher than under low temperature condition; there is a linear correlation between rutting depth and vehicle loading under the same loading times; the rutting proportion developed in hottest season is much higher than any other seasons.

Set the speed control humps scientifically, both from the reminder and to decelerate purpose, effective protection of urban road traffic safety. The paper describes the function of speed humps’ reducing accidents. Basing on the comprehensive analysis of domestic and foreign studies of speed humps, it further analyzes the influencing factors of deceleration zone’s speed limit effect and a preliminary method of setting humanized speed humps is proposed. Finally, the paper chooses a selection from student apartment area 1 to area 2 in Qishan campus of Fuzhou University as an example to analyze decelerating effect of speed humps on all types of vehicles and conclude the relationship between the speed limit effect of deceleration and vehicle speed, some suggestions of setting speed humps are put forward.

Bridge detection and evaluation are designed for bridge maintenance and repair decision service. Current bridge technical condition evaluation method can’t response the main performance decay process of the structural members. Through the analysis on 398 reinforced concrete bridges’ detection data, a bridge performance decay model is established. Based on the existing bridge evaluation specifications, an optimum method of classified evaluation of technical condition between structure and nonstructural members, together with classified detection method of bridge structure based on structural design principles, was set up. It can provide important basis for the structural and non-structural repairing on bridge maintenance. At the same time, it’s helpful for establishing the correlation between the structural defects and the decay of the structural bearing capacity.

Recently, a number of four or six-lane freeways have been widened to account for the increasing traffic demand. However, there is no specific study about capacity models of multi-lane freeways with more than eight lanes. Based on the data from Shen-Shan Segment of Jing-Ha Freeway, this paper aimed to develop different capacity models of 12-lane freeways for two different cross section layout modes, including, the integral mode and the passenger-freight separated mode. VISSIM simulation studies were conducted to obtain different speed-flow curves, based on which, the calibrated parameters were developed for different capacity models. The research results can help transportation professionals determine proper cross section layout and organizational modes in reconstruction and expansion projects of multilane freeways. They can also be used to calculate capacities of 12-lane freeways.

Traffic safety is a perpetual theme in the development of automobile traffic, with the rapid increase of vehicle population, road traffic accidents, particularly the high incidence of serious accidents; safety problems have become increasingly prominent. The factors influencing Dalian road traffic accidents are analyzed under the current Dalian road transport safety situation. Gray correlation method was adopted to quantify the factors causing traffic accidents. The main factors include the population, number of driving, number of passengers, freight volume and passenger transport circulation. The correlation order among the factors was determined to provide data for the management.

This article builds a model of the actual engineering using Midas/Civil, and makes an analysis of the impact on the deformation and stress of the bridge of concrete shrinkage and creep. Midas/Civil software uses the shrinkage and creep formulas in the "highway reinforced concrete and prestressed concrete bridge and culvert design specifications (JTG D62-2004). First, through changing the two parameters of relative humidity and creep coefficient of the model in the shrinkage and creep formulas specified in JTG D62-2004 specification, it analyses the effects of the shrinkage and creep on bridge deformation. Second, in and without the consideration of shrinkage and creep, it makes simulation analysis of the internal forces of the bridge to determine the degree of the influence of shrinkage and creep on bridge stress. By contrasting the parameters under different conditions, it obtains that the linear influence of the different relative humidities on the bridge is 25% in maximum. The concrete shrinkage and creep may also exert a relative great impact on the internal forces of the whole bridge. The stress of the upper flange decreases 1.9 MPa at most and the lower decreases 3.81 MPa at most. Through making an analysis on the impact of changing parameters and considering the shrinkage and creep on the actual engineering model linear and internal force, the author obtained the conclusion of the rule in the influence on a continuous girder bridge under the action of concrete shrinkage and creep, which provides a direction for the design and construction of continuous girder bridge using prestressed concrete.

Lining crack is the main form of tunnel disease. Tunnel lining crack undermines the integrity of the tunnel structure and reduces the strength and stiffness of lining structure. Thus it influences the normal operation of tunnel. Through the detection of a highway tunnel lining appearance and by using the software Midas GTS to conduct numerical calculation for typical section of tunnel lining are used to analyze the influence factors of cracking of tunnel. At the same time through analyzing the cause of crack and combining the actual condition of the tunnel this paper puts forward the regulation scheme of pasting CFRP to expect it can have the essential reference for the similar project in the future.

Pavement frictional coefficient using the law of conservation of energy is widely used in the evaluation of the pavement in China. To improve the reliability of evaluation, it is in urgent need of building the metrological traceability system of the pavement frictional coefficient. By deeply analyzing the operational principle and definition of Baizhi of the pavement frictional coefficient measuring instrument and considering the economy and portability needs, the project team proposed a two-level-deliver programme of metrological traceability. I level indoor standard is consist of a photoelectric encoder, a force sensors and a sampling control system, etc. II level outdoor standard are lave and textured glass. The results show that the expanded uncertainty of I level standard is 0.42 (k=2), and the uncertainty of II level standard is 0.98 (k=2).The research will be effective support to the pendulum friction tester calibration.

This article introduces the characteristics of the gilsonite and the natural bitumen gilsonite. It also discusses the performances, effect, modified mechanism and using of the natural bitumen gilsonite modified bitumen. A series of tests of the natural bitumen gilsonite modified bitumen were made. These included asphalt technical property, rutting test a high temperature, marshall test. The result showed that the stability of natural bitumen gilsonite modified bitumen was markedly increased. The effects of the natural bitumen gilsonite modified bitumen were made in highway application.

In order to study the unique accident characteristics of mountain roads to guarantee safety. Through careful investigation and information search on mountain roads and on the basis of a large number of data and cases of actual accidents, this paper summarized the main features of accidents in mountainous areas. According to the core idea of intrinsic safety, more attention should be paid to the design stage of road construction in mountain areas. Using both qualitative and quantitative methods, this paper sums up the main factors that influence the safety of mountain roads, they are road geometry, road condition and unique road environment in mountain areas. On the basis of the three factors, this paper proposes the principles and methods of dangerous section of governance. Through various analysis and comparison, this paper provides a more reasonable method of identifying black spots. The research results show that: the main reason of road accidents is a continuous curve and stadia, the tunnel without lighting equipment and water seepage inside the tunnel after earthquake are the factors that lead to accident, and the existence of the hidden dangers of accidents are mainly caused by the loosening mountain rocks and the lack of Kanawha rail.

Based on the connotation of decision problem of expressway pavement preventive maintenance, multi-target multi-attribute pavement preventive maintenance decision is divided into four layers as the target layer, criteria layer, indicator layer and measure layer. Considering the cost of preventive maintenance measures, traffic characteristics, technical factors, construction factors as the evaluation value of the target layer, and using the group decision model to reduce the subjective factors, we can get the best preventive maintenance decision measures. Finally, the article illustrates how to develop a reasonable conservation measure by using the case studies.

The traditional polymer modified asphalt is stirred and sheared using the specialized equipment in order to making modifier is evenly dispersed in the asphalt. This belongs to physically blending modification. So there are some problems of poor compatibility and insufficient heat storage stability between asphalt and modifier. However, PPA modified asphalt belongs to the chemical modification which can effectively make up for the inadequacy of traditional polymer modified asphalt and improve the road performance. Microstructure of modified asphalt of PPA in conjunction with SBS is deeply researched base on these four tests in this paper. These tests include four constituents, fluorescence microscopy, infrared spectroscopy and DSC. Modification mechanism of PPA modified asphalt is explored from different angles. The internal reasons are analyzed and discussed that PPA can effectively improve the high temperature performance, ageing resistance and thermal storage stability performance by using the principle of the micro chemistry. The optimum dosage of PPA is 0.75~1.5%.

Considering the durability of concrete, properties of raw materials have a marked effect, especially the properties of coarse aggregate which takes most position in concrete. In this paper, effects of elongated and flaky particles content on the durability of concrete were studied. 6.8%, 16% and 25.2% were chose as the dosages of elongated and flaky particles. The workability, compressive strength, drying shrinkage and impermeability were studied. The results revealed that all properties which were mentioned above were weakened with the increasing of elongated and flaky particles content. According to the results of this research the content of elongated and flaky particles should be fewer than 16%, while the workability and maximum packing density can be achieved.

The researches for cable area beams of single cable plane low-pylon cable-stayed bridge were summarized. Based on plane frame theoretical mechanics, the simplified model for cable area beams of single cable plane low-pylon cable-stayed bridge with wide box girder is elaborated; and mechanical characteristics of the cable zone beams were studied by changing the structural properties. The conclusions have some reference values.

Research on rail corrugation were briefly reviewed. A rail corrugation model for the whole vehicle and the slab track was developed. It considered a combination of the coupling dynamics model of a whole vehicle and track, the modified Kalker’s non-Hertzian rolling contact model for wheel and rail, a material wear model and an accumulated wear model. It takes not only the effect of wheel/rail transient dynamic interaction on the formation and development of corrugation into account, but also the effect of the accumulated corrugation on the wheel/rail contact and coupling dynamics. That is, this model can take into account a feedback process between the long-term effects of the rail corrugation and the transient coupling dynamic of whole vehicle. This model can be used to study the formation mechanism of rail corrugation. And the initiation and development of the corrugations caused by various track defects, such as track gap, scratch, dent and random geometry irregularities, can be analyzed. A numerical example was presented to verify the procedure. The numerical results of the example are reasonable and indicate the development of corrugation in the initial stage after grinding.

Based on the experimental data of different pavement structure through full scale accelerate pavement test (f-APT), the development regulation of rutting on different pavement structure is analyzed and compared, and the characteristics of rutting depth development trend and rut profile shape is summarized. Based on the test date of several semi-rigid base asphalt pavement structures, a rutting prediction model based on f-APT is achieved by multivariate regression, and the range of uplift coefficient is determined. The axle load and vehicle velocity conversion are also considered in the prediction model. The research result can provide a reference for optimizing the structural design and determining reasonable pavement structural scheme.

With the continuous development of heavy-haul transportation, the dynamic interaction between heavy-haul train and track structure has dramatically intensified. Track structures bear repeated and huge loads over a long period of time, and concrete sleeper acting as an important load-bearing component inevitably generates various damages, in which transverse crack in the middle cross section of the sleeper occupies a large proportion. On the basis of the theory of linear elastic fracture mechanics, the concrete sleeper model is established through finite element method to analysis vertical vibration characteristic of damaged concrete sleeper under train loads, including the rail-sleeper forces calculated by vehicle-track coupled dynamics theory. Then stress intensity factor is introduced as an index to investigate the propagation of the transverse crack. The results show as follows: the modal frequencies of damaged concrete sleeper reduce to some extent; under train load, vertical acceleration and displacement of damaged concrete sleeper rise evidently; dynamic response of stress intensity factor in the crack tip shows that the intensity of stress field near the crack tip is controlled by Stress Intensity Factor Type-I.

Due to growing concerns on the low-frequency box bridge structure vibration-born noise, the noise and vibration reduction design becomes a research focus at present. In this paper, based on the slab ballastless track- box bridge coupling dynamic model developed by the finite element method, the influences of stiffness and damping of the cement asphalt mortar (CAM) layer on the elevated box bridge structure vibration and noise radiation are studied. The results show that: the effect of stiffness of the CAM layer on the sound pressure level (SPL) caused by the box bridge structure vibration is not obvious, but the radiation scope of the box bridge structure noise is expanded by the greater stiffness of the CAM layer; with the damping of CAM layer increasing, the sound pressure of vertical acoustic field decreases, and the radiation scopes above and below the box bridge are also smaller, but the sound pressures of the noise concentration areas near the box bridge increases.

This article proposes a bilinear stiffness plastic hinge simplified model, based on the existing experimental research on dry joints fabricated pier; Using of nonlinear time history analysis method, seismic isolation performance of combination system of dry joints fabricated pier with laminated rubber bearing is discussed in the perspective of damping isolation. Results indicate that the dry joints fabricated pier system can reduce the seismic force and energy. The conclusion has some practical significance for the applications of dry joints fabricated pier bridge in high earthquake region.

Compare to the ordinary road sections, the traffic environment of tunnels is particularly different, especially when considering the visual environment. Due to the black hole effect, the threshold zone is regarded as accident-prone location. But in the engineering practice in China, the greatest change of the illumination in tunnels happened not at the tunnel portal but at somewhere inside the tunnel. This paper aims at discovering the distance range with the highest driving risk in threshold zone of tunnel. A field experiment has been conducted in a typical tunnel in Hunan Province, China. Based on the experimental data analysis, the relationship is built between the target detection distance, the distance from the tunnel portal, and the ratio of illumination, respectively. The results showed that at operating speed of 60 km/h, the distance range with the highest driving risk is 70 m to 109 m from the tunnel portal. The distance range is 50 m to 87 m from the tunnel portal for 80 km/h and 42 m to 79 m from the tunnel portal for 100 km/h. Based on target detection distance, the illumination design for tunnel lighting can be optimized.

Based on the characteristics of the head checks (HCs) in curve rail of a heavy-haul railway, the design method for lower rail profile where the HCs occurred frequently by the cubic interpolation spline curve was presented. The algorithm including control points and the key control parameters in the profile, equations of the curve between adjacent control points and the boundary conditions were discussed. The control parameters was researched by applying the designed profile to a vehicle-track model for simulation of wheel-rail contact patch area and contact stress, wheel-rail lateral force and contact position in the rail. Results show that for curve radius below 800 m, the designed 75 kg/m rail profiles which lower profile from rail center to gauge side can make the acreage area of contact patch over 100 mm² and both contact stress and lateral force smaller when the maximum lower amount of 0.1–0.6 mm, the maximum lowering position of 26–30 mm, the start point position 5–8 mm away from rail center.

For the problem what particle size and dosage of crumb rubber powder is best for road concrete, 24 groups of rubber powder concrete were prepared using four kinds of particle size (60, 80, 100 and 120 meshes) and 6 kinds of dosage (0%, 10%, 15%, 20%, 25% and 30%). And its pavement performance was measured, such as, strength, toughness, crack resistance, frost resistance and permeability. The results showed that: strength of crumb rubber powder concrete decreased with dosage and fineness degree of rubber powder increasing, and it had a higher sensitivity for dosage. Add crumb rubber powder into concrete has a positive effect to improve toughness, crack resistance and permeability of concrete, and the effect can be more obvious when the dosage increasing. However, the ability of frost resistance increased at first, and then decreased when the dosage increasing. The optimum dosage for 60, 80, 100 and 120 meshes rubber powder was 15%.

Lightweight aggregate concrete has been widely used due to its excellent performance, such as the light weight, the high strength and the thermal insulation. Ceramsite sand is a kind of artificial fine lightweight aggregate, which could be used as an effective internal curing material for concrete with low water-binder ratio. In this paper, the mechanical properties of concrete with the water to cement ratio of 0.3, 0.35 and 0.4, in which the natural sand was replaced by ceramsite sand at 20%, 40%, 60%, 80% and 100% in volume were studied. The hydration degree of cement in the paste around ceramsite sand particles was also tested. The research results showed that with the increasing of the ceramsite sand content, the compressive strength, the flexural strength and the static elastic modulus of concrete decreased. Ceramsite sand promoted the hydration degree of cement at the interface area, and this effect became more obvious for the concrete with lower water to cement ratio.

In order to relief railway transportation pressure in China, the load-raising reform of existing railway lines is paid much more attention. In load-raising reform of existing railway lines process, the most obvious improvement is the increase of vehicle axle load. Using the theory of wheel-track dynamics, The vertical dynamic model for the ballast rail track and heavy haul train interaction could be built. In this model, the heavy haul train is regarded as a subsystem with 10 degrees of freedom, and the ballast track structure is built using finite element method. The two subsystems are coupled using via non-linear Hertz contact mechanism considering the influence caused by track irregularity. This paper analyzes the dynamic response between train and track using the combination method of new rapid explicit integration method and Newmark integration method. And the dynamic response of existing ballast track under heavy haul train of different loads which are 25 t, 27 t and 30 t is specialized analyzed. During the analysis process, the dynamic performance indexes include: rate of wheel load reduction, wheel-rail vertical force, dynamic displacement of the ballast track, vibration acceleration of ballast track, and dynamic stress distribution of ballast track. The research results show that: 1). When heavy haul train are running on ballast track, every dynamic performance index is still within the national standards, and it can meet the dynamic requirement for running heavy haul train. 2). The trends of the dynamic displacement of the track structure under different loads are similar to one another. And the dynamic displacements of the rail under 27 t-axle-load and 30 t-axle-load increase 16% and 22% respectively, compared with the 25 t-axle-load. 3). In general it can be concluded that the growth proportion of the dynamic stress of the track structure is similar to the dynamic displacement. And the dynamic stresses of the rail under 27 t-axle-load and 30 t-axle-load increase 15% and 22% respectively, compared with the 25 t-axle-load.

This study was conducted in-depth study by doing several more important road performances of asphalt rubber mixture through laboratory tests. Firstly, comparing the relationship of the content of mineral powder and asphalt bitumen membrane thickness at different asphalt content, through film thickness to determine the range of gradation and asphalt content in laboratory tests. Grade 1 and Grade 4 asphalt content 5.5%, 6.0%, and 6.6% are set for the benchmark, then mixes adhesion, anti-damage, and fatigue properties of the test are carried out in the established range, the study found that: with the addition of mineral powder, asphalt film thickness decreases, but the adhesion of modified Cantabro test is influenced little by mineral powder added to the asphalt or not; whatever the grade adding 6.5% mineral powder or not, TSR values were greater than 80%, which meet regulatory requirements, but without mineral powder grade slightly better; fatigue properties of asphalt rubber mixture will reduced, when mineral powder added in, especially when the asphalt content is high.

This paper investigates the influence of tunnel geometry on the capacity of multiple-input multiple-output (MIMO) wireless communication system in underground environment. Due to the geometry of underground tunnels, such as mine and transportation tunnels, there are sufficient scattering objects, and MIMO system can take great advantage of such geometry. Through the experimental evaluations, it is shown MIMO systems in underground tunnel with complicated geometry can achieve an obvious improvement on channel capacities.

As a massive public traffic, the safety of rail transit system directly concerns the lives and properties of all the passengers. The signal system, playing a crucial role in ensuring operation safety of rail transit, must be evaluated to make sure its safe running. However, it lacks of the comparative research of safety assessment methods that are suitable for the key equipment of rail transit signal system. Based on the signal system of rail transit related research and safety assessment theory, several safety assessment methods, including fuzzy comprehensive method which was explored in the safety assessment of switches, have been analyzed in this paper so as to present the characteristics of these methods and applicable range and conditions.

Railway information sharing platform is the key technology to realize the railway information systems connectivity, integration and optimization of all kinds of information resource in railway companies. Security technologies of railway information sharing platform are the foundation of the long-term stable operation of the platform. Through analysis of security requirements and technical characteristics, the key security technologies are pointed out, mainly including access control technology, single sign-on technology, authentication technology and unified security center technology, etc. The security technologies laid a foundation for safety management implementation of the platform.

Although plenty of models have been proposed in previous researches on bus travel time estimation/prediction, little attention has been paid to the effective usage of the historical travel time. In this research, comparisons on performance of historical travel time estimation model were made among different statistical values, namely the mean, the median and the maximum probability values. The research results show that, to the wholly speaking, when buses are far away from the target stop, the model with input of the mean value performs the best on the estimation accuracy and precision, while the model with input of the median value shows the best performance when buses are near the target stop. During peak periods, the model with input of the maximum probability value is superior to that with input of other estimated values. Finally, a multi-stage usage of statistical values in travel time estimation is suggested on basis of the estimation results.

Based on the traffic impact assessment of construction project, the thesis applied random queuing theory to determine the number of parking spaces in a taxi station. The study calculated the changes of some operational index in queuing system, such as the probability of passengers taking a taxi without waiting, the average waiting time of taxi drivers and taxi leave rates based on the change of taxi arrival rates. Through case analysis, queuing theory was proved to be an effective method in determining the number of parking spaces in a taxi station.

A vast ocean of AIS(Automatic Identification System) data broadcast by ships contain characteristic of marine traffic, from which information that reflects latent principles of characteristics of ship movements can be gathered. To extract features of vessels during the berthing phase with as little error as possible, using data mining method and mid-latitude sailing in combination, based on AIS database. Then applying the algorithm to Xiamen Songyu port area and Tianjin Beijiang port area for data of full year 2014 in these two waters. Lastly, in-depth analysis is carried out to discover the berthing speed control law for large container vessels when remaining distance to berth is about 20 times own ship LOA(Length Overall). The research may help competent authority advance the rule of safe speed, while it also provides the basis of speed control during berthing phase for pilot or self-pilot personnel.

For the problems with driver’s dissatisfaction about cruise and parking in indoor parking, this paper provides some solutions. First, this paper analyzes the current problem of the indoor parking guidance system and the superiority of variable message sign for real-time berth guidance, and then the specific design focuses on the setting mode, location and layout of variable message signs. Finally, taking Dalian Ansheng Shopping Plaza Underground Parking for instance, this paper designs real-time berth guidance information of variable message signs and solves the problem of real-time berth guidance when the optimal berth was occupied.

In order to solve the problem of the ignorance of the purpose of resident trips when establishing the bus priority strategy, an BRT signal priority control strategy is presented based on social benefits and exponential smoothing in this paper. Firstly, weights used by G₁ are given to resident trips which are in different period and for different purposes. Secondly, the number of vehicles, the average rate of loading and the travel proportions for different purposes at the intersection are predicted by exponential smoothing, the value of the social benefits are calculated through the indicators above, and the BRT priority strategy is determined by comparing the value of the social benefits. Finally, the feasibility of the model is validated according to the example.

The headway distribution is a vital foundation for the work of traffic control，capacity calculation，traffic safety analysis, etc．In this paper, based on the analysis of data collected in Shanghai, the statistical features of headway distribution of different road section at the same volume are investigated at weaving section of signalized intersection upstream. The method of χ²−test is adopted to analyze the time headway distribution. The results indicate that in the normal period, headway distributions of three typical sections of the fast lane are fitted well with the negative exponential distribution, and the average headway of the stop line section is the minimum, and the average headway of the weaving section is the maximum. This investigation provides a useful basis for further research on capacity of weaving section of signalized intersection upstream, signalized intersection upstream planning and management.

Highway without a stop charging system (ETC) is an important subsystem in the field of intelligent transportation. The system has accumulated a large number of charge transaction data, which contains the traffic flow characteristic information and many kinds of feature information of highway users. Based on the analysis of ETC related data, The article did investigation of the ETC user demand investigation. And conducted requirement analysis for the highway travelers which contains transportation information types, information provision methods, service functions and so on. Finally, put forward the application service framework based on data ETC for highway users, highway regulators and highway operation management, covers the analysis of characteristics of highway basal network, the highway customer analysis and management, travel path planning and so on.

Current evaluation research of bus signal priority strategy adopting means of traffic simulation, lack of evaluation combined with the actual traffic flow data collected for analysis, based on the common bus priority strategies at home and abroad, on the basis of the current main bus signal priority strategy, including active and passive preference strategy has carried on the analysis and research; Based on HCM method, considering the influence of proportion of buses for intersection saturation flow rate, build the city road bus priority strategy performance evaluation method, On the basis of the traffic data, the urban road bus signal priority control strategies focus on a single point of intersection and compares the implementation of performance evaluation.

The construction of urban synthesis, which combines business, working, living, dining and entertainment in an overall, is an important part of China's urbanization process. The urban synthesis needs to provide enough parking lots to meet the rigid parking demand and the elastic parking demand, etc. Based on the principle that the parking demand of commerce and working alternates with living and the limitation of the surrounding road network’s capacity, this paper puts forward calculation model of variable parking lots. By applying it into a case about the calculation of a new urban synthesis’ parking lots, this paper finds out that the prediction result of calculation model of variable parking lots is obviously smaller than that of traditional calculation method, which further shows the new calculation model has some kind of reference and guiding meaning when reasonably determining the number of a urban synthesis’ parking lots.

The operation of roundabout is not only affected by its geometric characteristics and operation rules, but also mainly affected by traffic distribution of inlet and outlet flow. To explore the suitability of roundabout traffic under the condition of various distributions from the view of running efficiency will benefit to planning and design of the roundabout, and also benefit to traffic organization in peak. In this paper, based on the field data at SHUMA roundabout, the appropriate traffic under the various kinds of influence volumes was analyzed by using VISSUM simulation.

The multi-period signal control method at one single point is optimized. The changing situation of every 15 minutes in 24 hours of the different dates is analyzed, and the time division methods aiming at the different intersections and different date are studied. The control phase and phase sequence of traffic control in the different traffic operating characteristics are determined, and the corresponding determination methods of the red clearance time and the pedestrian green time are studied. By recording the control effect parameters on the existing scheme, the practical and easy establishment method of signal time scheme is studied, and the control model of the turning-right vehicle according to the existing standard is defined.

The analytic studies of bus IC card and GPS data integration belongs to the important part of Intelligent Transportation. It has much great development potential and brings much convenience and hitherto unknown change to transportation and planning. This paper analyses and summarizes the technical principle, the current situation of application, research status at internal and abroad of bus IC card and GPS data integration. This article points out the deficiency of the current studies and puts forward the direction of later research, application and development.

Aiming at the problem of low efficiency and poor security of u-turn traffic at intersection, the project carry out an analysis of operation characteristic, conflict and design on u-turn traffic, and take the u-turn traffic conflict and influence factors in consideration. For an actual signalized intersection, we design a scheme of u-turn lane right set, and give the corresponding traffic signal control mode, which effectively avoids four kinds of conflict between u-turn traffic and other traffic in time and space, and improves the efficiency and safety of u-turn traffic. Finally, operate the status quo intersection and designed intersection with VISSIM based on actual survey data of the intersection, and collect corresponding traffic data to analyze traffic evaluation. Result shows that, the implementation of u-turn lane right set and the improvement of control mode can effectively avoid conflict points between u-turn traffic and other traffic; delay time, stop time and queue length have been reduced significantly, and traffic flow capacity at intersection has also been greatly improved. In the field of traffic engineering design, it is worthy of in-depth study and innovation on right set of u-turn lane.

In this paper, study report and solutions of the interconnection and interworking of voice, video and data transmission of traffic network nodes in Jilin Province by researches on network construction of transport sectors and the visiting and investigational study of relevant network equipment manufacturers and operators in Jilin province are carried out. On this basis, technical standards of Jilin traffic information backbone network construction, traffic communication information transmission including network data, voice and video, grading protection construction of traffic information network security, construction standards of traffic information network IT room, and test standards of traffic information network acceptance have been developed. The study aims to promote the construction of Jilin traffic information network and network security level, and improve the efficiency of its transportation network interconnection, network construction and operation and maintenance from the perspective of technical support, playing an exemplary role in traffic information backbone network interlinking of other provinces and regions.

This article describes the problems of railway special line management; put forward the idea of establishing an information management system to standardize the management of railway special line; analysis the demand of special line information management system in security management, operation management and other aspects of daily operations; according to the system functional demands, appropriate discussion are made to obtain the system functional framework, logical framework and physical framework.

OD matrix is one of the most important research fields in intelligent traffic, it’s the key data of microscopic traffic simulation, city traffic planning, management and control etc…In this article, through the multipath search algorithm based on point and punishment method and modified Logit model to determine the distribution of matrix, according to the structure of OD deviation state space model and combining with polynomial trend based on information fusion Kalman filtering, put forward the dynamic OD matrix estimation algorithm based on information extraction. Finally, combining with the example of analysis and calculation, verify the validity and feasibility of the presented method in this paper.

Customized shuttle bus is a new service pattern of public transportation which can meet the personalized travel demand. In the article, we used discrete choice model to analyze the factors affecting commuters travel mode choice, with the investigation which is about Beijing commuters’ travel characteristics and transportation mode choice under different scenarios. Binomial Logit model has been built to the population characteristics and probability of commuters who chose the customized shuttle bus, thus it provides the reference to adapt to the characteristics of customized shuttle bus business strategy for the bus companies to determine.

In order to explore the driving behavior characteristics of vehicles which across the line of multi-lane freeway diverging areas, the paper selected Hu-Ning multi-lane freeway interchange (groups) as a field observation engineering, and extracted diverging and merging locations, speed and other traffic behavior from the drivers and the vehicles. The test results showed that: a multi-lane freeway diverging area motorcycle type difference and diverging location with low correlation under free-flow condition, and the vast majority of drivers choose merging locations advance under medium and low flow conditions, the locations merging behaviors of heavy vehicles and cars are broadly similar, but when the traffic conditions change, the merging locations between the two appears discrepancy and so on.

In order to explore and research the characteristic of vehicles’ speed driving behavior in a multi-lane freeway interchange diverging area, and provide realistic basis for safety design of diverging area, this paper choosed Hu-Ning multi-lane freeway interchange (groups) as a field observation engineering, and used MC5600 vehicle type pneumatic tube system statistics and field velocity data and SPSS Statistics software processing data. Tests showed that: the relationship between the frequency and the velocity of cars and trucks are the normal distribution. Two-lane ramp terminal average speed of cars is 75~85 km/h, and the operating speed (V85) of cars is 90~100 km/h; the single lane average speed of cars is 60~70 km/h, and the operating speed (V85) of cars is 80~95 km/h. Two-lane ramp terminal average speed of trucks is 70~80 km/h, and the operating speed (V85) of trucks is 80~90 km/h; the single lane ramp terminal average speed of trucks is 60~85 km/h, and the operating speed (V85) of trucks is 65~100 km/h.

Considering urban residents in peak period, the residents can choose by way of car, bus, subway travel network composition of three kinds of travel way to travel. There are bus lanes in the urban road, constitute the travel cost function with urban residents by considering the main factors in the process of travel mode choice. The travel mode choice equilibrium model was established that the bus lane conditions in the peak travel period, on the basis of the User equilibrium theory. Obtain the maximum delay time, the number of trips and travel costs in travel costs equilibrium state. The rationality of the model was verified by a simple numerical example, the next was further discussed that subway fares impact on travel division of three ways. The results showed that: On the one hand, the Subway travel mode by most people's choice, because this way is travel time stability, this is also consistent with the actual situation. But also be launched from the side to avoid the uncertainty of residents during the trip. On the other hand, the subway fares effects of urban travelers’ travel mode choice.

Based on the principal factor analysis of conventional public transit passengers’ volume in small and medium-sized cities, the forecast model of passengers’ volume on the basis of IHGA-LS-SVM with Grey Correlation Analysis is proposed. By applying Grey Correlation Analysis between the influencing factors of passenger’ volume, the input variables of LS-SVM were screened. Then an Improved Hybrid Genetic Algorithm (IHGA) is applied to optimize the selection of model parameters. When applied to forecast the conventional public transit passengers’ volume in a city of Sichuan from 1999 to 2011, the results shows that compared to other forecast methods this model improves forecast accuracy, shorten the convergence, is a feasible and effective forecast model of conventional public transit passenger’ volume in small and medium-sized cities.

Lancang River is an important navigable river in Yunnan province, at the same time it is a cross-border international river in southwest China, however, compared to other rivers such as Yangtze River, the waterway management and maintenance level is relatively backward, and modernization and information lever is lower. Therefore, according to the characteristics of the Lancang River, we need to achieve the modernization and efficient of Lancang River waterway management by means of information, so that the Lancang River waterway management and maintenance can reflect the unique pattern of the Lancang River shipping, and promote the development of the Lancang River shipping. Based on analysis of the current situation and needs of the Lancang River waterway management, the article put forward the suitable advanced, modern management and maintenance mode for Lancang River, which is based on the building principles of conducting top-level design, constructing the overall framework, improving infrastructure, achieving breakthroughs in key business systems by small strides. This study is an important foundation of constructing the Lancang River intelligent waterway, and realizing full coverage, all-weather operation and rapid response modern waterway management system. It is helpful to improve the management and maintenance level of the Lancang River waterway, and promote the shipping economic development and international shipping Exchanges development of the Lancang - Mekong River. It can accelerate the Lancang - Mekong international shipping development and construction, improve the status of the Lancang River shipping, and have important significance in promoting economic and social development in Yunnan Province, developing international trade, establishing a good international environment on the neighboring countries.

In the process of subway station construction, many large construction equipments are placed in a narrow area where the operations are highly dense and the equipments have to carry heavy load and move or rotate in a broader space. In addition, there are tall equipments carrying out aerial operation. Some construction equipments are placed in limited underground space. These special conditions bring extremely high risks to subway station construction. This paper probes into (1) the application of BIM in summarizing and dynamically managing all the information and data in the process of construction; and (2) the installation of GPS receiver OEM board on large, high-risk construction equipments, the utilization of GIS and GPS data in dynamic management of three-dimensional geographic spatial location information of machineries and the visualized management of all data and information. In addition, this paper analyzes the risks related to large construction equipments and neighboring buildings and controlling methods. In this paper, the author suggests to integrate GIS, GPS and BIM to develop construction early warning and risk management systems so as to dynamically monitor the conflict risks among cranes, drilling machines, excavators, loaders and dumpers, the risks of collision between equipments and neighboring buildings and the risks of deformation and structure damage of foundation pits and retaining walls. Lastly, this paper analyzes the functional needs of the early warning and management system, which provides a theoretical reference for the development and implementation of this system.

Constructing underground roads has been important to alleviating traffic pressure. Site selecting of entrances and exits scientifically is significant to controlling the construction scale of underground roads and making it develop rapidly. First, the primary index system was established based on analyzing the factors that affect entrances and exits site of underground roads. The important factors, which include the distribution capacity of entrances and exits, travel costs of the area, construction costs and operation-maintenance costs, were determined after analyzing the primary index system by using ISM and Matlab. Second, the bi-level programming model to optimize the site of entrances and exits was set up. The objective function of the upper level was to minimize the land cost, construction cost, operation cost, maintenance cost of underground roads, the reconstruction cost of the ground transport network, and the travel cost in the area. The objective function of the lower level was to assign the traffic flow equilibrately in the transport network. Then, the iterative optimization algorithm (IOA) was used to solve the bi-level programming model. Finally, an example was employed to prove the feasibility of the model. The results show that the land use scale and the construction costs can be controlled by optimizing the entrances and exits site of the underground roads.

Because of the urban road space is relatively limited and the growth of traffic demand is approximately infinite, the phenomenon of traffic congestion is becoming even more serious. According to the attribute mathematical theory, the evaluation index system of traffic congestion was put forward, and the urban traffic congestion evaluation model was set up. The evaluation indexes of urban traffic conditions weights are determined by variation coefficient method. The state of traffic congestion can be recognized by the method of confidence criterion. The final evaluation results can be obtained by calculating the investigation results. Finally, the model can be used to sort the result of traffic congestion evaluation for each road and each intersection. The results show that the method is feasible to solve such problem.

It is an important premise to identify and predict traffic flow instantly and accurately in ITS. Therefore, it is of great significance to realize the control and induction of ITS. Aiming at the intersection short-term traffic volume forecasting problem, we proposed the combined model prediction algorithm based on the analysis of traffic flow sequence partition and neural network model. This algorithm divides the traffic volume into different patterns along the time and volume dimension by clustering analysis, and then describes and predicts traffic flow value according to different patterns. The experiment results on real data set demonstrate that our algorithm based on the combination model is more accurate.

Aiming at the environmental vibration problems of turnout zone, the vibration equations for vehicle and turnout system are developed respectively by means of finite element method and Lagrange equation. According to irregularities characteristics of turnout structure, the wheel/rail contact geometry is introduced to the vehicle-turnout coupling system. Then the computational software is coded with Matlab. Dynamic responses of the irregularities state are analyzed. The calculation results show that large impact of vehicle-turnout system is produced when vehicle passing through the switch area and frog area. The vertical geometric irregularity of turnout has significant influence on wheel/rail interaction force, where turnout wear aggravates this dynamic action. To improve the turnout working state and reduce the maintenance cost, the occurrence and development of wear in frog area should be controlled strictly.

The displaying of three-dimensional geological body can describe the complex subsurface geological structure visually, improve the engineer’s space imagination effectively, understand the geological spatial relationship more intuitive and design more reasonable. The paper analyzed the three-dimensional geological data model usually used, established a Generalized Triangular Prism (GTP) element model and considered the impact of faults, Set up a three-dimensional geological modeling method based on GTP. Achieved a three-dimensional geological drilling, borehole cross-section and other information visualization inquiry and geological cutting, excavation, hierarchical display and other visualization techniques based on three-dimensional spatial analysis techniques and graphics.

Simulation of pedestrian evacuation flow is based on cellular automata model, which defines personal space and information processing space within the field of pedestrian’s movement. It uses the pedestrian density to descript evacuation characteristics in the condition of the different environments, in order to determine pedestrian’s behavior choice. Furthermore, it analyses system scale, exit’s width, pedestrian density and selection strategies on the effect of evacuation time, and observes the self-organization phenomena in the process of simulation. It is shown that the evacuation time is not only influenced by the scale of the system, but also directly with the exit width and selection strategy.

Taking necessary measures to counter the traffic block problem is urgent. First of all, through the investigation and analysis, this article summarizes the congestion causes of Chengdu. And then set the evaluation index such as speed, delay in time, the frequency of parking, parking time and the road load degrees of the sections. Through analysis of the statistics, this paper provided a comprehensive evaluation model and the severity of congestion index concept which used to evaluate the rode congestion degree in the situation. Through the acquisition of data, the results model can be carried out on sections of qualitative and quantitative analysis. By calculating, use the serious traffic congestion index to determine the extent section of the serious congestion. The results in the paper can be used for the Chengdu traffic management departments to provide a scientific and rational evaluation system.

In recent years, the community bus that plays an essential role in public transit system in metropolises has achieved rapid development domestically. It is on the premise that the temporal-spatial distribution characteristics of passenger-flow are confirmed, a proper network planning and operation program is about to make. In this paper, an analytical method for community bus demand is put forward based on Smart-card data and GPS data of public transit. The index of passenger-flow could be calculated, including passenger-flow volume of line section and station through correlation analysis of data. Through data mining of passengers’ records, the difference of passengers demand is analyzed between community bus and Conventional bus. Also, taking the community bus data in Chengdu as example, this paper has verified the rationality and applicability of this method.

The article proposes several key problems about CBTC simulation implementation on the sandbox, researches some problems such as signal equipment detection, train location and wireless communication, and proposes some corresponding solutions. In the process of the research, at first, the article comes up with the reasonable methods by comparing the several techniques; and then designs the circuits to conduct the corresponding experiments. The final solution is applied to the practical simulation sandbox. The solution is verified correctly by combining with the CBTC simulation software which is running for a long period of time on the upper computer. The solution of these key problems can make the CBTC function be simulated and implemented accurately on the sandbox, at the same time; it also provides some service for teaching and training.

Operation of vehicles in urban arterial highway directly affects traffic of entire city. With large traffic volume and too many conflicts in urban arterial highway intersections, congestion problem is particularly prominent. Therefore, rational management of urban arterial highway intersections can effectively alleviate traffic congestion. Choosing the Renmin Street and Jiefang Avenue intersection of Changchun city as the research object, it aims to explore a full-induction control method for urban arterial highway intersection. The full-induction control method is explored with VISVAP to compile VAP (Vehicle Actuated Programming) and the calculation model of detector installation position is modeled. Comparing values of delay and queue length of current signal control with those of full-induction control method, the full-induction control method effectively alleviates congestion.

In order to reduce the observation time of the intersection traffic conflict and decrease the difficulty of observation, meanwhile achieve the effect of actual measurement, so based on the relevant information, the objective can be realized through the method of predicted the number of potential conflicts. The paper mainly demonstrated the conflict point of mixed traffic flow and predicted the probability of potential conflict about the non-signal intersection in the view of the method of probability statistics, random process, regression analysis and two-dimension table, the theory of traffic flow and traffic conflict. The paper observed the typical intersection in Xi’an so as to test the reliability of the prediction model. The number of prediction conflicts contrasted with the representative predicted value in china, the number of actual conflicts and simulation result. The result shows that the predicted value is a little more than actual value, but contrast with other prediction model, the predicted result is more closer the actual value, so the prediction model can be used to evaluated the traffic safety of intersection instead of the number of actual conflicts.

The semi-rigid barriers were generally used in tunnel entrance. When impact occurred, some deformation of facilities could cause vehicles’ rolling or impacting on tunnel wall, effective protection would not be provided. New transition structures combining connection sections with strengthen lap beams between standard barriers and tunnel were set to solve the above problems. According to new standards, crash simulation tests were analyzed, which small passenger car, medium truck and bus with impact angle (20°) and impact velocity on transition structures. By analyzing vehicle tracks, the buffering and redirective performances, maximum dynamic lateral deflection (D) , the maximum dynamic widening distance of lateral deflection (W), and maximum dynamic vehicle incline-out distance (VI), the results showed that the improved barriers with transition structures met the anti-collision requirements.

The current guidelines in China are mainly based on four-lane freeway, which do not fit eight-lane freeway well. Therefore, this paper researched traffic stream characteristics of the on-ramp region of Zhengyi interchange. As a result, the acceleration lane is divided into three regions—the region marked with entrance markings, the region where lane 1 connected with the inside lane of the ramp and the region where lane 1 connected with the outside lane, among which, the minimum length of merging length is calculated as a non-linear integer programming (NLIP) based on the gap acceptance theory and traffic volume. The trial results of the models above show that the present recommended value of acceleration lane length and cannot meet the vehicles’ merging demand under secondary serve level when the freeway is eight-lane with two-lane ramp.

Based on the geological environment recognition of Hypermap Model and application technology of location design, and based on orthophoto map environment of remote sensing (RS), this thesis introducing the concept of Hypermap to the railway location system. Establishing Hypermap Model of railway location which based on geographic information, geology, and geological knowledge. Based on Extended-Catalog Structure Model to realize function which to store nonlinearly, organize, manage and browse the relationship between the information. Provide illustrations of geology, geography and geological knowledge environment for railway locating engineer, and to realize integration and application of remote sensing (RS) geological information system in three-dimensional railway location design.

Bus rapid transit is one of the best ways to improve urban transit. However, how to integrate the traditional bus and BRT is a problem that limits the efficiency of BRT system. Elastic route BRT system is a new BRT mode, which allows the BRT buses turn into or turn out of the bus lane at intersections. This paper puts forward a BRT approach capacity calculation method at intersection in Elastic route BRT system based on the data of Guangzhou BRT. And a case of Guangzhou BRT is studied to verify the validity developed method.

With the development of intelligent transportation system, more and more traffic events need to be tested through modeling and simulation. In this paper, C++ as the main programming language, builds simulation platform through integrating MATALB and VISSIM. It solves the problem that it’s difficult to do the secondary development of VISSIM directly and program for solving model of complex problems. The method combines the VISSIM software simulation’s good effect, MATLAB’s powerful calculation ability and the relevant advantages of C++ programming. On the one hand, the VISSIM and C++ editor can exchange data through VISSIM COM. On the other hand C++ can call MATLAB dynamic link library to implement the hybrid programming. The simulation platform which is used to establish by this method provides a new way for building and solving traffic management and control modes. Finally, according to the platform, this paper studies a case related to theories and applications of transport information granular computing.

Aiming to solving the problem of tram delays be caused by disturbing of social vehicles, on the basis of ensuring operational efficiency of tram, an approach of intersection signal strategy of priority coordinated control contrary to unidirectional trams delay sand bidirectional tram intersection in this paper, tram load, traffic safety interval and tram delays are taken into account in this paper. Modeling by indicative function, an example is described; delays are reduced obviously as a result which can ensure trams run ordered according to diagram.

The paper has analyzed the performance characteristics of motor vehicles which turn left from minor road approach systematically, and has studied characteristics of speed variation and various impacting factors for left-turning vehicles from minor road approach, using statistical methods. Theory analysis of the performance of left-turning vehicles has been carried out and has been verified by using data collected in the field. Forecast models for acceleration of left-turning motor vehicles from minor road approach have been constructed and impacts upon traffic safety have also been discussed. Results of the paper can be used to analyze traffic performance of motor vehicles making left-turn movements from minor road approach at non-signalized at-grade intersections. They are also helpful for the analysis of traffic safety at those locations.

Cyclists’ running red lights is very common in China and has been one of the major reasons for traffic accidents in urban areas. This paper has discussed psychological factors behind bicyclists’ behavior of running red lights at signalized intersections such as anxiety, group psychology, deliberate action, convenience psychology, recklessness and ignorance and subconsciousness. Next, a psychological questionnaire survey has been analyzed and studied. The survey includes three subjects: reasons for running red lights, maximum waiting time and measures for prevention of running red lights. Meaningful conclusions have been drawn as to what are the main reasons that underlie cyclists’ running red lights and how to prevent cyclists from running red lights effectively.

Magnetic detector is a new type of vehicle detection equipment. A new roadside parking space detection algorithm is proposed based on AMR sensors in this paper. It uses state machine mechanism and overcomes the limitation of existing threshold-based algorithm. The current status is identified via processing two types of magnetic data. Combined with state-related parameters, it can achieve an accurate detection of the parking space status in different scenarios and parking modes. The experiment results show that the accuracy can reach 95%.

There might be wheel slips and slides when a train is moving. The coded odometer can be employed to measure the speed and the location of the train, which turns the linear speed of the wheel to the forward velocity of the train. Slips and slides make the two speeds different and measurement errors happen, which would be bigger and bigger over time. This paper summarizes several algorithms of identifying the wheel slips and slides such as comparing the measured accelerations with their upper bound, calculating the standard deviation of the accelerations, counting the residuals of the Kalman filtering, redundant sensors and so on. The paper also introduces a bunch of methods for compensating the errors, for example, using a fixed acceleration, interpolation and multiple sensors. Moreover, the detecting and compensating methods mentioned are simulated in Matlab with the actual experiment data and their effects of compensation are analyzed and compared at the end of this paper.

With the development of China’s economy and transportation industries, high-speed railway continues to grow in strength in recent years, as the command center of high-speed trains operation, high-speed railway dispatching system plays an important role in ensuring the safety, high-speed and punctuality of trains. By using structural entropy evaluation theory, this paper analyzes the influence of the information flow within the system of three kinds of high-speed railway dispatching system: the whole way centralized dispatching mode, the region concentrated secondary mode and the trunk line (passage) secondary mode. This paper evaluates the ability of information transfer of the three command system modes from the perspective of time-effect, quality and order degree of information transfer, and puts forward the time-effect and quality analysis model of the information flow within the three command modes, and makes a quantitative evaluation of time-effect, quality and order degree of the system.

As important nodes on urban roads, intersections are prone to cause traffic jams and chaos. Therefore, the traffic organization of intersection is closely related to the overall performance level of the urban road net. It’s necessary to improve traffic organization of existed intersections, so that the capacity of at-grade intersections can be enhanced, the traffic congestion of urban roads can be alleviated, to a certain degree. This research includes two major parts. The first part is studying the theories about timing signal control based on the running mechanism of at-grade intersection’s traffic flow from the perspective of both time and space, in order to find efficient ways to optimize intersection’s traffic organization. The second part is conducting a further optimization and modification on road channelization and signal control combining the above-mentioned theory with current status, eventually establishing a feasible and effective scheme. The following step is applying the micro traffic simulation software VISSIM to evaluate the present traffic of the XiYing Road-XiYan Road intersection in Xi’An based on relevant data.

Transportation policy can be more efficient in attracting a considerable number of people to choose public transit as their travel mode when decision-makers tend to develop specific policies considering different groups of people. The market segmentation method based on bus commuters’ attitude towards bus trip and their own risk preference is a significant approach to characterize various demands from bus commuters. Traditional segmentation approaches, however, rarely attempted to reveal the connection between commuters’ socioeconomics attributes and the result of segmentation due to the fact that classic market segmentation is conducted on the basis of commuters’ attitude investigation and analysis. Bayesian Network, an advanced method to make fantastic prediction, can directly predict market segmentation based on commuters’ socioeconomic attributes and risk preferences. In this way, the segmentation method can still be valid on the lack of original data of attitude and risk preference. It helps market segmentation to be more practical in demand forecasting. This paper applies Bayesian Network based on K2 and TAN structure learning algorithm respectively to predict market segmentation of attitude and risk preference on the basis of socioeconomics attributes. Traditional segmentation approach is used in this work to verify the precision of predicting segmentation results. Moreover, comparison between K2 and TAN Bayesian Network is made. The results show that the total relative error of TAN network is 29.5% while that of K2 network is 32.7%. Besides, TAN Bayesian Network takes more socioeconomic attributes into consideration than that of K2 Bayesian Network, which means the structure of TAN network coincides with common sense better. It comes to the conclusion that using Bayesian Network to predict market segmentation based on attitude towards bus trip and risk preference is capable of making the segmentation method plays a more important role in traffic demand forecasting. TAN Bayesian Network, furthermore, owns much stronger effectiveness. The proposed approach is of great help to establish potent transit systems planning and management strategies.

Priority to the development of public transport is the only way to solve the increasingly serious urban traffic problems, it also become the consensus of the governments at all levels in our country. Bus, subway as one of the most important part of urban public traffic, reasonable transfer to join to play their respective advantages, to achieve convenient passenger travel is of great significance. This article summarized domestic and foreign research status on transit with other public transportation transfer, on the basis of analysis of the bus and subway and other public transportation transfer to research the basic train of thought, finally bring forward the transfer process and the recognition principle of public traffic transfer.

In recent years, Chengdu has opened the subway and BRT. Among them, Chengdu Qinghua Road area has constituted a multi-modal public transport network which involves regular bus, rapid rail and BRT. Therefore, paper chooses Chengdu Qinghua Road area as the research object chooses generalized minimum cost as optimum principle, builds a multi-mode transit network model and a multi-mode transit optimal path choice model in Chengdu Qinghua Road Area. Quantitative analysis of the value of the generalized impedance, through the psychological characteristics of Chengdu residents’ bus travel survey. Utilization breadth-first search obtained options which have the minimum generalized impedance as the recommended travel schemes and selecting the optimal scheme among the recommended schemes by passenger travel conditions .Otherwise, the case analysis of the optimal path from Huiyuan Building to the Sichuan Province Orthopedics Hospital, and the result that different passenger travel conditions affect the optimal path proves the optimal path search algorithm in this thesis has certain reference.

In order to accurately forecast the short-term traffic flow, a K-nearest neighbor model was set up, study the influence of key factors in model on predicted result. Using combination of different state vectors and distance metrics to form four kinds of K-nearest neighbor model, combined with Beijing real road traffic data apply four kinds of models to carry out example verification, pick up relative error and equalization coefficient evaluate forecasting result. The results show that: with time-space parameters of a higher prediction accuracy, which has minimum prediction error, average 7.8%. take index weights into distance metric can be more precise in neighbor selection, which has minimum prediction error, average 7.34%. Visibly, compared to traditional K-nearest neighbor short-term traffic flow forecasting model which only consider the time dimension, K-nearest neighbor model with time-space parameters and index weights more accurately reflect the state of the traffic flow change condition, can be used as effective road traffic flow forecasting means.

To improve the traffic capacity in signalized intersections, stretching-segment are applied both in upstream and in downstream in some criteria and guidance. However, the methods to calculating the traffic capacity of signalized intersections usually consider the impact of stretching-segment in upstream. Based on investigations on some intersections in Chengdu, this study analyzes the impacts on traffic capacity caused by downstream stretching-segment, and shows that the length of downstream stretching-segment and the signal of the intersections are the two key factors for its capacity. Then this study investigate the trends and the extent of the impact using a VISSIM simulation model.

The structure of road network in a city will not only affect the spatial morphology of a city, but also have influence on the operating performance of all kinds of ground transportation and people’s travel behavior. Therefore it’s necessary to identify the methods and indicators to describe network structure, and analyses its impacts on the distribution of vehicle volume. The authors first used ArcGIS on road network’s topological analysis, then used dual approach to abstract the stroke graph into connectivity graph, which as a result figured out the indicators of road network structure. Multiple regression and simple regression were used to analyze how road network structure impact the distribution of vehicle volume. In the end the contrasted results of the two methods lead two most representative indicators of road network structure and the distribution of vehicle volume, which are Betweenness and vehicle kilometers traveled. So the conclusion is that Betweenness and vehicle kilometers traveled shows simple linear relationship, which means the more important of a stroke in road network is, the more vehicle kilometers there will be on the stroke.

The multi-objective coordinated control strategy of tram in the intersection based on speed guidance in this article is the evaluation basis of the control strategy which is built on the basis of existing tram priority control in the intersection with the index of additional passengers’ total delay time in the intersection; the tram and social vehicle can be coordination controlled by speed guidance or giving the tram passing priority in the intersection in order to minimize additional passengers’ total delay time in the intersection.

This paper proposes a new method of detecting traffic volume of intersections from aerial video processing by software, and made a simple example. First, we use aeromodelling to get traffic flow video of target area. Then, we process the video with software we developed independently, to access data we need. The software developed on the platform of MFC and OPECV based on the C++ program. We used the mixed Gauss background difference method to identify vehicles in a single frame, and the L-K algorithm and corner detection algorithm to track vehicles in the continuous video. By this way, we extract trajectories of vehicles, and then get the speed and acceleration according to the relationship between time and displacement. On this basis, we propose a method of intersection traffic volume statistics. Proved by the experiment, the data gathered from the aerial video by our software is very accurate, and the error of intersection traffic volume is within 2%. It meets the requirements of the traffic survey well. The foreground of the software is considerable.

Based on Shanghai elevated road traffic flow, six kinds of speed-density models are calibrated by least square method for clear and rainy weather and the respective best models to estimate free-flow speed and capacity are determined. Next, the function between free-flow speed and rainfall intensity is also fitted and it is integrated into generalized speed-density models. It is found that both weather and number of lanes influence free-flow speed and capacity, and generalized speed-density models also vary with different combination of weather and number of lanes.

This paper works on the short-term travel time prediction, aiming at predicting dynamically (or fixed-frequency) by considering dynamic road traffic index volatility and average speed, and then providing the real-time travel time prediction for users in advance. This paper improves the prediction algorithm, referenced to current traffic parameters prediction methods basing on Kalman filter, and solves the time lag and the automatic update of historical average data needed. Then this paper uses 4 evaluation indexes to make known the degree of deviation and goodness of fit between predictive value and actual value, and to verify that improved algorithm could make predictive travel time more accordant with the practical situation.

As we are living in era of motorization, cities are expanding rapidly, the urban population has risen dramatically, more and more motor vehicles runs on the roads. The problem of urban transportation exacerbates. Intelligent transportation technology (ITS) is regarded as one of the best methods to solve the problem of urban traffic. A large number of traffic monitoring equipments have widely used as the development of intelligent transportation systems. With a large number of traffic monitoring system has been built, we can collect abundant operational data from the ITS systems. Mining and making good use of these data It becomes more and more important of mining and making good use of the data. License plate recognition (LPR) system is an important component of the intelligent transportation system. In the past, the license plate recognition system has been used in analysis of traffic peccancy and the tolling system. The data mining of the license plate recognition system is rarely been applied. The dissertation researches the theories and methods of how to analysis the time characteristics of urban vehicles based on license plate recognition data. With the help of real-time data which is got from license plate recognition technology of urban arterial road, we get the motor vehicle travel characteristics of vehicles by mining license plate data. In this paper, we did empirical research by using license plate data in Shenzhen. Time clustering method has been used to separate the vehicle travel behavior. By analyzing the trip frequency of the vehicles during the working day, we can extract the rigid vehicles and get travel time characteristics of vehicles on urban arterial road.

The paper establishes the speed guidance model of urban expressway based on meso-simulation traffic flow model, which can provide the role of speed control and short-term traffic prediction according to the real-time severe weather. And the model regards gross vehicle travel time as the objective function and the weather condition as influence factors to optimize the design of model and be implemented by C++. Then, it simulates and analyses the results based on the east line of the southern section of Shanghai North-South Elevated road. Simulation result shows that both speed variance and speed mean square error decrease remarkably. The speed guidance control reduces the overall difference of speed of the traffic flow that can improve traffic safety and the model is effective.

The study of online diagnosis based on testability models has been greatly concerned, due to the advantages of generality, real-time performance, intuitive modeling and high efficiency. The paper presents a technique of the vehicle’s online diagnosis based on testability models. Firstly, a basic algorithm is proposed, and a universal machine is designed for real-time performance. To fulfill the demands of online application, a reasoning prototype is developed with the embedded platform of VxWorks. The experimental results prove the performance and effectiveness of the universal real-time reasoning machine. Such a technique of online diagnosis can be applied to other equipments of traffic and transportation.

The objective of this paper is to develop a new computational method of friction power loss of the spiral bevel gears transmission system of the helicopter tail reducer. At first, the velocity and force of the meshing point were analyzed during meshing process. Then a computational model of friction power loss for spiral bevel gear was established based on the principle of meshing and tribology theory, considering the effects of actual contact ratio and time-variant factors. This model considered the effects of actual contact ratio and time-variant factors including mesh point relative sliding velocity of mesh point, normal load, friction coefficient, etc.

Chicago Transit Authority (CTA) total ridership data is analysis considering weather data of the weekday. The results that lower temperature influences the transit ridership a lot and the influence reduces when the mean temperature goes higher are discovered. Different weather factors are analyzed to see how they affect the total ridership. In addition, a logistical regression model is generated based on the January 2014’s weekday data.

In general, traffic demand regression analysis is conducted independently on a certain path of transport corridor with little consideration about the effects from other adjacent paths which have the same directions. Separate multivariate linear regression analysis and that of multiple dependent variables are conducted respectively based on research data of two paths of traffic corridor between Shenyang and Shanhaiguan. Analysis results indicate that associative regression prediction has higher accuracy than separate regression prediction. Research results of this paper provide a more accurate theoretical calculation method for transport corridor traffic demand prediction in practical engineering projects.

It is an important item to assess the effects of west transportation improvement on economic growth in China’s Ethnic Area. Our findings show that local economy growth doesn’t benefit from transportation improvement in Guizhou ethnic area. That is to say, the effects of transportation improvement are fully spilled. Although the transportation costs of households and firms are reduced by transportation improvement, the flow of production factors (population mobility and movement of goods) are one-way from ethnic area to developed region. On this condition, transportation improvement has negative spatial spillover effects to the economic development in ethnic area.

The possibility of spatial spillover effects of transport infrastructure on economic growth was examined in Northwest China, which is analyzed based on spatial spillover theory and Cobb - Douglas production function, using panel data from 1990~2012. The results show that: (1) The output coefficient of local road infrastructure on economy in the Northwest is 0.1325, which means that local highway infrastructure plays a significant role in promoting local economic growth. (2) The output coefficient of ecdemic highway infrastructure on local economy is 0.1512, comes to the conclusion that there is a significant positive spillover effect of ecdemic highway infrastructure on local economic growth.

At present, China’s urban public transport development cannot adapt to economic and social development, the majority of urban public transportation proportion is low with accelerating urbanization, growing urban population, the trend of an integral of urban and rural has become more and more obvious and the problems of urban public transport are increasingly prominent. And improving legal system of urban public transport is the basic guarantee for the healthy development. This paper will study the legislation of China’s urban public transport administrative regulations in depth.

The study of the changes the Freight Organizational Reforms brings to the freight demand network are important for development of railway freight traffic as it is the most source of income. This paper presents the changes through the demand network. Firstly, the collected data is used to analysis the demand of the transport market changes. This is one of the important reasons for the implementation of Freight Organizational Reforms. Secondly, by constructing virtual transport network, the differences are analyzed about the changes that transportation reforms have brought. The freight transportation reform loses the requirements of goods transport. This makes the origins and destinations of goods on the network become diverse. Accompanied by the reform, the flow and volume of traffic and goods are more complicated than pre-reform period. Before and after the reforms, comparing the range of network and wagon destination, as well as the possible path of the goods, we can draw on the conclusion that the demand network is more complicated and competitive in the future. How to organize the transport of goods more convenient and economic after reform is a serious problem.

This paper is based on the analysis of the rail freight demand and problems, by conducting SP survey for the owner of the demand in the freight market and using cluster analysis to segment the freight market to obtain differentiated needs of each owner. And combining product hierarchy theory, this paper analyzes the design elements of frail freight products. Finally, from the perspective of the unitized rail transport product, the paper analysis three kinds of modes of transportation, including truckload, LTL, container transport, and designs and develops the form of the rail freight transport products on the internet of things. This research considering the characteristics of our railways and the market demands to create some unitized transport products in the application environment of the internet of things, which ispersonalized, diversified, and meeting the needs of shippers.

This paper introduces the systematic strategy of car-following (CF) models with three aspects. The general reality description is firstly used to analyze whether the CF models can describe the overall longitudinal driving behaviors really. Then the individual reality description is applied to analyze the ability of simulating individual behaviors precisely of diverse CF models. Finally, the inter-driver and intra-driver heterogeneity are analyzed for that good models can minimize the discreteness. In general, it is convenient for researcher to use the systematic strategy to evaluate the CF models.

The rail transportation has been gradually becoming a main way for the urban public transportation in China. The rail transit, as a kind of large capacity, high speed, safety and punctual transportation, not only improves the accessibility of the urban traffic, but also raises the new commercial circle. It brings a huge impact to the development of urban commercial space. In recent years, with the rapid development of Zhuhai, the government has started the constructions of the rail system and the north station TOD project in order to alleviate the traffic congestion in the downtown of Zhuhai. Based on the north station TOD projects, the relationship between the rail transit and the urban commercial space had been analyzed. The rail transit impact on development of commercial space had been studied.

Port city is a kind of special economic region with inner inevitable connection essentially, which determines its development practice need the integration between port and port city. Based on the studies of the economic impact of port cluster on city, especially the integration process, integration effect and integration tendency with each other in the economic development, this paper proposes that the set composed of a port cluster and city should be regarded as a large-scale system and puts forward a dynamic port economic impact model based on system dynamics, providing applied theory and methodology for the economic operation mode of port cluster and port city.

The aging of population has become a global trend, and the traffic problem of the older people has become the focus of the society. With the large-scale network of the urban rail transit, there is a certain gap between the existing station facilities and the traffic demand of aging society. This article analyzed travel characteristics of older people through surveys and questionnaires. Based on the characteristics and travel demands, service quality index system for urban rail transit station is established. The service quality of the several stations in Shanghai is evaluated through comprehensive evaluation model. Finally, in order to improve the safety and convenience for older people’s travel, some suggestions for improving facility and services of station are proposed.

Inappropriate planning and operation of bus system in small and medium-sized cities has severely hampered the development of the public transport industry. This paper takes the public transport system of Luotian county of Hubei province as an example, and uses game theory to analyze the behavior of the government, the bus company and the bus owner’s under uncertain information. Basically, this paper provides a method for better solving the distribution contradiction problems of buses owners interest group under the new operating system. Study results also have a reference value for small and medium-sized cities of our country. This paper also provides a decision support system for the reform of public transport system of small and medium-sized cities.

Although the Passenger Railway has developed rapidly, the ticketing is still on a first come, first served basis. Gradually, we find it always induced the seats unoccupied and reduced the system rewards because of the halfway-station requests. This paper presents the Railway Passenger Ticketing Optimization Model based on Semi-Markov Decision Process (SMDP) to increase the system rewards. Especially, we propose “the seats risk-rewards” to indicate the system value at risk by different ticketing decisions. Furthermore, this study provides not only the optimal strategy of the seats utilization, but also the system maximum long-term rewards.

In order to prevent social instability of rail transit construction projects effectively, 15 factors caused rail transit social risk were extracted. Using the integration of decision-making trial and evaluation laboratory (DEMATEL) and the interpretive structure model(ISM), a structural model of risk cause system was established. The causes were divided into 4 categories: root causes, controllable causes, key causes, direct causes. The results show that safeguarding the fundamental interests of the masses is the key to control the social risk of the rail transit construction.

In this article, we studies the optimal trade credit term decision under the centralized decision making in an extended economic ordering quantity framework. We divide the trade credit policy into two parts: T≤M_j and T>M_j. The objective of this research is to determine the optimal credit term to maximize the joint total profit per unit time. Furthermore, numerical study and sensitivity analysis are presented to illustrate the results of the proposed model and to draw managerial insights.

Production function is the econometric model used to study the business relationship between input and output. In this paper, it uses Cobb-Douglas (C-D) production function as based model, and it uses regression analysis and Solow residual as the theoretical support. It simulates the production function model of railway transportation. Through the empirical study and quantify the railway transport enterprise production function analysis, we can reveal factors affecting investment in the railway transport enterprise output volume. This research is helpful for future.

According to foreign study on the policy development of railway freight transportation, this paper present that the developed countries adjust transportation structure and encourage various transportation modes to balanced develop by laying down integrated transportation and environmental protection policy. On the basis of analysis on current situations of the railway freight market and referring experiences of the foreign policy of integrated transportation, tax policy and transport subsidy, it introduces a strategy on promoting the development of China railway freight transportation.

Transportation industry is basic industry and service industry of the economic and social development, transportation outstanding talent is the fundamental guarantee to support the development of transportation, the realization of the scientific development of transportation relies on sufficient amount, structural optimization, excellent quality and reasonable distribution of professional talent team. As a featured college, that provides service for the rapid developing transportation industry, should take the initiative to serve the country’s strategic needs and the needs of industries and enterprises, support and play its leading role in developing the national economy to meet the urgent need of transportation industry outstanding engineering talent. Aiming at current common existing problems of talent development and personnel training, systematically analyze training excellence transportation needs and quality standards of excellence talents, explore and summarize the terms of the training objectives, training programs and training model to build transportation training excellence system that is able to provide a good reference for transportation training excellence.

The customer satisfaction evaluation characteristics of rail door-to-door transport service is analyzed in this paper. Establishment of timeliness, charge, goods integrity, complaint, information, order acceptance, cargo taken, cargo delivery, other service to the first-level indexes of satisfaction evaluation indexes system by LSQ model for reference. Fuzzy comprehensive evaluation method and the relevant parameters are combined on processing evaluation result. Finally, the feasibility of value calculation method is verified according to evaluate rail freight point Y.

By analyzing the correlation between road infrastructure construction in different regions of Sichuan Province and poverty, it can be found that when road density is low, the poverty rate is relatively high, then further analysis tells that rural road construction influence the changes of the structure of peasnats' income and improve their viability. On this basis, we make suggestions to increase rural road infrastructure construction in the poverty-stricken areas.

Based on the theory of activity-based costing, this paper studies the detail cost composition and cost behavior of railway freight transportation enterprise. According to the analysis, this paper purposes an advanced activity-based costing theory. Firstly, it analyzes the exact process of transportation operations. Then, it divides the cost elements into the related cost centers. At last, based on the cost centers, this theory allocates the cost elements into specific processes. Finally, this paper puts forward the calculation steps.

Cost-volume-profit model is applied to analyze the railway freight transportation economic benefit, based on the cost data of railway enterprises. Through Cost-volume-profit model, the relationship between transportation costs, freight transportation unit price and freight transport is obtained, then the freight transport and freight transportation unit price at break even point are drawn. Then the key factors affecting transportation profits are clarified and sensitivity coefficients of which are explored. The risk resistance capability of railway enterprise is assessed. This paper can provide adequate data indicators for the railway enterprise managers to make strategic decisions.

With the constant improvement of urban and rural distribution network, “Alliance of Agriculture and Community” has became a highway for agricultural products to flow to the city residents, but there are still a lot of resistances in the process. This paper analyzes the problems of “Alliance of Agriculture and Community” in our country and introduces a new operating model which based on the third-party trading enterprises, then researches its development advantages and suggests the corresponding advice and countermeasures.

Jiangxi economic development is inseparable from the transportation industry, transportation industry plays an important role in economic development in Jiangxi Province, this paper use 1978-2012 transportation data, analyze the Jiangxi railway transport, road transport, sea transport, air transport, and the use of correlation analysis, gray correlation analysis, elasticity analysis and other analysis of the intrinsic link the province’s transportation and economic development; the use of gray prediction model, transportation and economic development in Jiangxi Province were forecast, plan ahead and be prepared to predict the situation in Jiangxi Province in 2013- 2020 transportation and economic development in Jiangxi Province, making use of the good momentum of economic development in the country, and to catch up others. To find the problems and the adverse impact on economic development in Jiangxi Province, To build the global economy play a key role in the development of large-capacity channel, the layout of the road network and promote coordinated economic development, to make transportation industry has become a new economic growth point of Jiangxi Province.

This thesis, based on the characteristics of the taxi industry, to investigate the game model of pricing the taxi industry in relax regulation conditions. By analyzing the relationship, establish in Stackelberg bi-level programming model. Among them, the upper programming for the maximization of social welfare, lower planning is to maximize the interests of Taxi Company. The model considered the taxi operation of actual loading mileage. Considering the solving of bi-level programming model is complex, this Article uses genetic algorithm to solve the upper limit value after relax regulation Then combining case, the pricing game model is studied. The calculation shows that the model can effectively respond to the pricing process. At the same time, the algorithms can effective computational models.

To provide effective analysis tools, an early warning system is proposed for China’s foreign trade container shipping market. Firstly, by analyzing volatility mechanism of foreign trade container shipping market, a set of monitoring indicators is presented, including container throughput, freight index CCFI and PMI new export orders index et al. The monthly samples of the indicators from 2005 to 2014 are collected. Secondly, the warning threshold and interval of each indicator are determined by the combination method of statistical analysis and expert scoring. According to the design principle of early warning signal system and the indicator state division method, the early warning signal system of China's foreign trade container shipping market is proposed. To monitor the long-term market wave trend, an early warning index model is further proposed by the method of synthetic index, in which the indicator weights are determined by the principal component analysis method. Finally, the comparison results between the system operating and the real market volatility further demonstrate the validity of the proposed system.

Empirical data from related listed companies are then adopted to analyze and test the actual effect of corporate social responsibility on the enterprises’ sustainability. Findings show that in each dimension of CSR, the impact on sustainability is fair operation, labor practices, consumer issues, environment, responsibility for governance and community development from high to low in turn. As to economic development and human rights, there is no significant impact on sustainability, and human rights can affect sustainability negatively. Therefore, it is an effective way to promote transportation enterprises’ sustainability by enhancing CSR, performing CSR in stages and ensuring the priority of implementation of part enterprises’ CSR.

In recent years many cities in China are making great progress in developing urban public transportation. Meanwhile the share of public transit is becoming one of the main indexes in evaluating the level of public transport development. Based on the quantitative analysis of different type of cities, this paper reveals the internal relationship between the public transit share and social economic conditions. Firstly the range of factors influencing public transit share or transit usage is determined based on domestic and international literature review. Secondly, the trend of domestic public transit ridership and social economic factors in recent 25 years is examined as the fundamental to build models. Thirdly, the paper chooses 30 cities of different types and scales as the objects of study, and builds structural equation models to quantify the impacts of changes in several determinants on public transit share. In the end the paper illustrates how and to which extent the social and economic factors influence the change of public transit share.

In the management process of railway construction, here comes the problems such as involving too many projects, complex business, varying lengths of business cycles, employees and staff capacity varies greatly, which increase the difficulty of management and reduce the efficiency of human resources. It’s meaningful to manage the process of railway construction. For the traditional management mode, managers always assign the task directly and manually, which not only increases the administrative burden, but also makes the distribution plan lack of scientificity and rationality, especially for parallel projects, presenting particularly prominent problems. According to “Railway Construction Project Management program guidance” formulated by the former Chinese Railways Construction Management Division it sorted out the management program of railway construction projects and understood the main task type, task attributes etc. meanwhile, studied the existing task allocation algorithm, building a new task allocation model used a multi-dimensional evaluation method and Rough set theory to evaluate the suitability of candidates and fully considered the properties and state of tasks and candidates to improve the scientificity and rationality of distribution plans. On the basis of the above we gave the realization steps of parallel engineering task allocation algorithm for railway.