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Car-following model considering the lane-changing prevention effect and its stability analysis

Author

Listed:
  • Bingmei Jia

    (School of Transportation and Logistics, Southwest Jiaotong University)

  • Da Yang

    (School of Transportation and Logistics, Southwest Jiaotong University
    Traffic Management Research Institute of the Ministry of Public Security)

  • Xiaobo Zhang

    (Institute of Artificial Intelligence, School of Information Science and Technology, Southwest Jiaotong University
    National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University)

  • Yuezhu Wu

    (School of Transportation and Logistics, Southwest Jiaotong University)

  • Qian Guo

    (School of Transportation and Logistics, Southwest Jiaotong University)

Abstract

The car-following behavior has attracted much attention in past decades. However, the majority of the existing studies ignored the fact that the following vehicle in car-following may prevent the lane-changing of the vehicle on the adjacent lanes, when a large gap exists between the following and leading vehicles. Therefore, this paper proposes a new car-following model considering the lane-changing prevention effect. The final velocity of the following vehicle is a combination of a safe velocity and a lane-changing prevention velocity. The stability condition of the model is derived and verified through numerical simulation, and impacts of several factors on stability are analyzed. The results display that the stability condition is consistent with the simulation results. The most significant factors impacting on the stability are the safe time-headway for lane-changing and the contribution proportion α of the safe velocity and lane-changing prevention velocity. The optimal values exist for the proportion α and lane-changing time headway that can make the stability of the traffic flow the highest. Graphical abstract

Suggested Citation

  • Bingmei Jia & Da Yang & Xiaobo Zhang & Yuezhu Wu & Qian Guo, 2020. "Car-following model considering the lane-changing prevention effect and its stability analysis," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 93(8), pages 1-9, August.
    • Handle: RePEc:spr:eurphb:v:93:y:2020:i:8:d:10.1140_epjb_e2020-10028-3
    DOI: 10.1140/epjb/e2020-10028-3
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    Cited by:

    1. Junyan Han & Jinglei Zhang & Xiaoyuan Wang & Yaqi Liu & Quanzheng Wang & Fusheng Zhong, 2020. "An Extended Car-Following Model Considering Generalized Preceding Vehicles in V2X Environment," Future Internet, MDPI, vol. 12(12), pages 1-15, November.
    2. Zhu, Liling & Tang, Yandong & Yang, Da, 2021. "Cellular automata-based modeling and simulation of the mixed traffic flow of vehicle platoon and normal vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    3. Zhang, Xiangzhou & Shi, Zhongke & Chen, Jianzhong & Ma, lijing, 2023. "A bi-directional visual angle car-following model considering collision sensitivity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).

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    Keywords

    Statistical and Nonlinear Physics;

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