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A Practical Traffic Assignment Model for Multimodal Transport System Considering Low-Mobility Groups

Author

Listed:
  • Tao Zhang

    (School of Traffic and Logistics Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China)

  • Yang Yang

    (School of Traffic and Logistics Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
    Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 210096, China)

  • Gang Cheng

    (College of Engineering, Tibet University, Lhasa 850000, China
    College of Transportation, Jilin University, Changchun 130000, China)

  • Minjie Jin

    (School of Traffic and Logistics Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China)

Abstract

In this study, we created a practical traffic assignment model for a multimodal transport system considering low-mobility groups with the aim of providing the foundation of transportation network design for low-mobility individuals. First, the route choice equilibrium for walking, non-vehicle, and private car modes is described using the logit function, which is formulated as a variational inequality problem considering different low-mobility groups. Then, the practicalities related to travel times at intersections, traffic barricades between different lanes, and fuel fees of private cars are integrated to design a generalized travel cost function. Last, the method of successive weight averages is used to solve the proposed model. The model and its solution are verified based on a real case study of the city of Wenling in China. The sensitivity of adjustment parameters related to travel costs are analyzed, the practicality of the proposed model is explored, and the results of traffic assignment for different low-mobility groups are discussed.

Suggested Citation

  • Tao Zhang & Yang Yang & Gang Cheng & Minjie Jin, 2020. "A Practical Traffic Assignment Model for Multimodal Transport System Considering Low-Mobility Groups," Mathematics, MDPI, vol. 8(3), pages 1-19, March.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:3:p:351-:d:328647
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    References listed on IDEAS

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    Cited by:

    1. Wei Huang & Yang Hu & Xuanyu Zhang, 2022. "Enhancing Model-Based Anticipatory Traffic Signal Control with Metamodeling and Adaptive Optimization," Mathematics, MDPI, vol. 10(15), pages 1-18, July.

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