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Day-to-Day Dynamic Traffic Flow Assignment Model under Mixed Travel Modes Considering Customized Buses

Author

Listed:
  • Yulin Chang

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
    Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 211189, China)

  • Yijie Wang

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Chao Sun

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Peng Zhang

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Wenqian Xu

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

In recent years, customized buses (CBs), a new form of public travel mode between bus and car, has sprung up in China. Its characteristics include flexible routes, each person having a seat and point-to-point travel have attracted travelers who seek high-quality travel, especially car travelers, alleviating traffic congestion at peak periods and leading to a change in urban travel modes. In addition to providing new travel modes, an exclusive bus lane (EBL) is also an effective means to alleviate traffic congestion. Therefore, this paper establishes link impedance functions under mixed travel modes considering the EBL, including customized buses on different kinds of links, and then presents a day-to-day dynamic traffic flow assignment model based on stochastic user equilibrium (SUE). Some conclusions were summarized by numerical case studies. First, the parameter of travelers’ sensitivity to route travel time affects the speed of traffic flow evolution. When it increases to positive infinity, the final state of the traffic network moves from SUE to deterministic user equilibrium (DUE). Second, the parameter on the degree of dependence of travelers on previous experience can not only influence the value size of actual travel time, but also influence the direction of actual travel time evolution. Third, conventional buses and customized buses have higher transportation efficiency than cars, but if the proportion of conventional bus travelers is too large, the total travel time of all travelers in the traffic network may increase. Fourth, when travel demands increase, the proportion of travelers who choose public transit is required to increase to achieve minimum total travel time. Lastly, from the perspective of the whole traffic network in any case, the EBL is not always beneficial. It is recommended to set EBLs when conventional buses and customized bus flows are heavy, which can be judged based on the model established in this paper.

Suggested Citation

  • Yulin Chang & Yijie Wang & Chao Sun & Peng Zhang & Wenqian Xu, 2023. "Day-to-Day Dynamic Traffic Flow Assignment Model under Mixed Travel Modes Considering Customized Buses," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5440-:d:1101817
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    References listed on IDEAS

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    1. Fanding Xiang & Haomiao Cheng & Yi Wang, 2023. "Exploring the Smart Street Management and Control Platform from the Perspective of Sustainability: A Study of Five Typical Chinese Cities," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    2. Bing Zhang & Zhishan Zhong & Xun Zhou & Yongqiang Qu & Fangwei Li, 2023. "Optimization Model and Solution Algorithm for Rural Customized Bus Route Operation under Multiple Constraints," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    3. Chao Sun & Yulin Chang & Xin Luan & Qiang Tu & Wenyun Tang, 2020. "Origin-Destination Demand Reconstruction Using Observed Travel Time under Congested Network," Networks and Spatial Economics, Springer, vol. 20(3), pages 733-755, September.
    4. Maryam Moradi & Gabriel J. Assaf, 2023. "Designing and Building an Intelligent Pavement Management System for Urban Road Networks," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    5. Stephan Müller & Christian Schiller, 2015. "Improvement of the volume-delay function by incorporating the impact of trucks on traffic flow," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(8), pages 878-888, December.
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