Traffic Flow Estimation Based on Toll Ticket Data Considering Multitype Vehicle Impact
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 2
Abstract
Traffic flow estimation (TFE) plays an important role in transportation systems, especially in relation to the detection, planning, and management of traffic for expressway systems. However, traditional approaches to TFE using roadside detectors usually have low-coverage and high-cost problems. This paper proposes a toll ticket data (TTD)–based approach to TFE for filling the gaps in existing approaches and also considers multitype vehicles’ impact on traffic flow for more accurate TFE results. First, route choice models are constructed to capture travel characteristics of mult-type vehicles and acquire route traffic flow from TTD. Then, a simulation-based dynamic traffic assignment (DTA) algorithm is developed to obtain traffic flow regarding vehicle type, time, and location, with the consideration of multitype vehicles’ impact by using a tollbooth conversion factor (TCF) and point-of-queue model (PQM). The proposed approach is evaluated empirically using data relating to the Shandong Expressway Toll System in China. The results confirm that it performs effectively. This research could contribute to future TFE and provide references for dynamic, delicate traffic management in an economical and reliable way.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions.
The toll ticket data of Shandong Province used for the case study is confidential data, so the data can only be provided after anonymization.
Acknowledgments
This research was supported by the Fundamental Research Funds for the Central Universities (2020YJS091), the National Natural Science Foundation of China (71801012) and the National Research Program for Key Issues in Air Pollution Control of China (DQGG0207-03).
References
Ben-Akiva, M., and M. Bierlaire. 1999. Handbook of transportation science: Discrete choice methods and their applications to short term travel decisions. Washington, DC: Springer.
Caceres, N., L. M. Romero, and F. G. Benitez. 2012. “Traffic flow estimation models using cellular phone data.” IEEE Trans. Intell. Transp. Syst. 13 (3): 1430–1441. https://doi.org/10.1109/TITS.2012.2189006.
Callado, A., J. Kelner, and D. Sadok. 2010. “Better network traffic identification through the independent combination of techniques.” J. Netw. Comput. Appl. 33 (4): 433–446. https://doi.org/10.1016/j.jnca.2010.02.002.
Dai, R., Y. Lu, C. Ding, G. Lu, and Y. Wang. 2018. “A simulation-based approach to investigate the driver route choice behavior under the connected vehicle environment.” Transp. Res. Part F: Traffic Psychol. Behav. 65 (Aug): 548–563. https://doi.org/10.1016/j.trf.2018.04.008.
Dhamaniya, A., and S. Chandra. 2013. “Concept of stream equivalency factor for heterogeneous traffic on urban arterial roads.” J. Transp. Eng. 139 (11): 1117–1123. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000581.
Fan, S. K., C. Su, H. Nien, and P. Tsai. 2018. “Using machine learning and big data approaches to predict travel time based on historical and real-time data from Taiwan electronic toll collection.” J. Soft Comput. 22 (17): 5707–5718. https://doi.org/10.1007/s00500-017-2610-y.
Fu, Y., M. Sang, and J. Yao. 2018. “Highway network model building and key technique of traffic assignment based on monitoring data.” [In Chinese.] China Transp. Rev. 7 (40): 47–52.
Guerrieri, M., R. Mauro, and T. Tollazzi. 2019. “Turbo-roundabout: Case study of driver behavior and kinematic parameters of light and heavy vehicles.” J. Transp. Eng., Part A: Systems 145 (6): 05019002. https://doi.org/10.1061/JTEPBS.0000241.
Guilbert, D., C. L. Bastard, S. Ieng, and Y. Wang. 2013. “Re-identification by inductive loop detector: Experimentation on target origin–destination matrix.” IEEE Intell. Veh. Symp. 36 (1): 1421–1427. https://doi.org/10.1109/IVS.2013.6629666.
Hara, Y., J. Suzukib, and M. Kuwaharac. 2018. “Network-wide traffic state estimation using a mixture Gaussian graphical model and graphical lasso.” Transp. Res. Part C: Emerging Technol. 86 (Jan): 622–638. https://doi.org/10.1016/j.trc.2017.12.007.
He, X., Z. Duan, C. Chen, and F. You. 2019. “Video-based lane detection and tracking during night.” In Proc., CICTP 2019: Transportation in China—Connecting the World, 5794–5807. Reston, VA: ASCE. https://doi.org/10.1061/9780784482292.498.
Jin, Y., Y. Gao, P. Wang, J. Wang, and L. Wang. 2019a. “Improved manpower planning based on traffic flow forecast using a historical queuing model.” IEEE Access 7: 125101–125112. https://doi.org/10.1109/ACCESS.2019.2933319.
Jin, Y., J. Zhen, P. Wang, Z. Sun, K. Wen, and J. Wang. 2019b. “Quantitative assessment on truck-related road risk for the safety control via truck flow estimation of various types.” IEEE Access 7: 88799–88810. https://doi.org/10.1109/ACCESS.2019.2924699.
Kong, N., J. Weng, P. Lin, and Y. Zhang. 2019. “A study on scale characteristics and influence factors of passenger flow in Qinghai lake scenic area.” In Proc., 19th COTA Int. Conf. of Transportation Professionals. Reston, VA: ASCE. https://doi.org/10.1061/9780784482292.150.
Li, D., C. Jin, M. Yang, and A. Chen. 2020. “Incorporating multi-level taste heterogeneity in route choice modeling: From disaggregated behavior analysis to aggregated network loading.” Travel Behav. Soc. 19 (Apr): 36–44. https://doi.org/10.1016/j.tbs.2019.11.002.
Liang, R., and S. Wu. 2018. “Problems and improvement of trial scheme for highway freight volume statistics.” J. Highway Transp. Res. Dev. 12 (4): 103–110. https://doi.org/10.1061/JHTRCQ.0000660.
Lu, N. 2016. A study on the impact of toll rates on vehicle route choosing. Beijing: Beijing Jiaotong Univ.
Moshe, B., and R. L. Steven. 1997. Discrete choice analysis: Theory and application to travel demand. London: Massachusetts Institute of Technology Press.
Navandar, Y. V., A. Dhamaniya, D. A. Patel, and S. Chandra. 2019. “Traffic flow analysis at manual tollbooth operation under mixed traffic conditions.” J. Transp. Eng., Part A: Systems 145 (6): 04019023. https://doi.org/10.1061/JTEPBS.0000247.
Neuhold, R., F. Garolla, O. Sidla, and M. Fellendorf. 2018. “Predicting and optimizing traffic flow at toll plazas.” Transp. Res. Procedia 37 (9): 330–337. https://doi.org/10.1016/j.trpro.2018.12.200.
Ryu, S., A. Chen, J. Su, and K. Choi. 2018. “Two-stage bicycle traffic assignment model.” J. Transp. Eng., Part A: Systems 144 (2): 04017079. https://doi.org/10.1061/JTEPBS.0000108.
Sarcevic, P., and S. Pletl. 2018. “False detection filtering method for magnetic sensor-based vehicle detection systems.” In Vol. 9 of Proc., IEEE 16th Int. Symp. on Intelligent Systems and Informatics, 13–15. New York: IEEE. https://doi.org/10.1109/SISY.2018.8524716.
Singh, N., A. Tangirala, and L. Vanajakshi. 2018. “Segmentation of vehicle signatures from inductive loop detector (ILD) data for real-time traffic monitoring.” In Proc., Int. Conf. on Communication Systems & Networks, 601–606. New York: IEEE. https://doi.org/10.1109/COMSNETS.2018.8328281.
Soriguera, F. 2016. “Estimating the information value for traveling time on a toll motorway.” [In Spanish.] Carreteras 4 (206): 6–19.
Wang, P., W. Hao, and Y. Jin. 2020. “Fine-grained traffic flow prediction of various vehicle types via fusion of multisource data and deep learning approaches.” In Vol. 6 of Proc., IEEE Transactions on Intelligent Transportation Systems, 1–10. New York: IEEE. https://doi.org/10.1109/TITS.2020.2997412.
Xiao, X. 2014. Risk and safety assessment on urban rail network. Beijing: Beijing Jiaotong Univ.
Yao, E., and Y. Song. 2013. “Study on eco-route planning algorithm and environmental impact assessment.” J. Intell. Transp. Syst. 17 (1): 42–53. https://doi.org/10.1080/15472450.2013.747822.
Zeng, M., K. Long, L. D. Han, and X. Yang. 2017. “Optimization of degradable road network considering VMS information and heterogeneous ATIS users.” J. Comput. Civ. Eng. 31 (5): 04017048. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000690.
Zheng, K., E. Yao, J. Zhang, and Y. Zhang. 2019. “Traffic flow estimation on the expressway network using toll ticket data.” J. Inst. Eng. Technol. 13 (5): 886–895. https://doi.org/10.1049/iet-its.2018.537.
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© 2020 American Society of Civil Engineers.
History
Received: Jul 7, 2020
Accepted: Sep 22, 2020
Published online: Nov 30, 2020
Published in print: Feb 1, 2021
Discussion open until: Apr 30, 2021
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