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Apr 26, 2012
A Bi-Level Programming Model of Urban Transportation Energy Consumption Based on Road Network Capacity
Authors: Rui Xiang [email protected], Jinsong Shi, Xiang Zang [email protected], and Qilu Xu [email protected]Author Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
This paper explained the concepts of transport mode energy consumption and road network capacity, which is applied to forecast the minimum energy consumption in a Meg polis. A bi-level optimization model is used, where upper-level establishes energy consumption consistent with the maximum road network capacity, while the lower level assigns traffic demand across the network. Modal split and the capacity models of vehicle roads are used to connect the two levels. The idea and method can be applied to the process of urban traffic planning so as to promote the sustainable development of urban transportation and environment. When traffic demand is more than traffic supply, transport structure can be adjusted according to the value of energy consumption by traffic modes.
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© 2009 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Computer programming
- Computing in civil engineering
- Energy consumption
- Energy engineering
- Engineering fundamentals
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Models (by type)
- Optimization models
- Traffic capacity
- Traffic engineering
- Traffic management
- Traffic models
- Transportation engineering
- Urban and regional development
- Urban areas
Authors
Affiliations
College of Traffic and Transportation, Southwest Jiaotong University, Chengdu 610031, China Email: [email protected] and Key Laboratory of Comprehensive Transportation of Sichuan Province, Chengdu. E-mail: [email protected]
Jinsong Shi
Faculty of Architecture, Southwest Jiaotong University, Chengdu 610031, China
College of Traffic and Transportation, Southwest Jiaotong University, Chengdu 610031, China. Email: [email protected] and Key Laboratory of Comprehensive Transportation of Sichuan Province, Chengdu. E-mail: [email protected]
College of Traffic and Transportation, Southwest Jiaotong University, Chengdu 610031, China. Email: [email protected] and Key Laboratory of Comprehensive Transportation of Sichuan Province, Chengdu. E-mail: [email protected]
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