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The new car following model considering vehicle dynamics influence and numerical simulation

Author

Listed:
  • Dihua Sun

    (Key Laboratory of Dependable Service Computing in Cyber, Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China;
    College of Automation, Chongqing University, Chongqing 400044, China)

  • Hui Liu

    (Key Laboratory of Dependable Service Computing in Cyber, Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China;
    College of Automation, Chongqing University, Chongqing 400044, China)

  • Geng Zhang

    (Key Laboratory of Dependable Service Computing in Cyber, Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China;
    College of Automation, Chongqing University, Chongqing 400044, China)

  • Min Zhao

    (Key Laboratory of Dependable Service Computing in Cyber, Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China;
    College of Automation, Chongqing University, Chongqing 400044, China)

Abstract

In this paper, the car following model is investigated by considering the vehicle dynamics in a cyber physical view. In fact, that driving is a typical cyber physical process which couples the cyber aspect of the vehicles' information and driving decision tightly with the dynamics and physics of the vehicles and traffic environment. However, the influence from the physical (vehicle) view was been ignored in the previous car following models. In order to describe the car following behavior more reasonably in real traffic, a new car following model by considering vehicle dynamics (for short, D-CFM) is proposed. In this paper, we take the full velocity difference (FVD) car following model as a case. The stability condition is given on the base of the control theory. The analytical method and numerical simulation results show that the new models can describe the evolution of traffic congestion. The simulations also show vehicles with a more actual acceleration of starting process than early models.

Suggested Citation

  • Dihua Sun & Hui Liu & Geng Zhang & Min Zhao, 2015. "The new car following model considering vehicle dynamics influence and numerical simulation," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(07), pages 1-16.
    • Handle: RePEc:wsi:ijmpcx:v:26:y:2015:i:07:n:s0129183115500813
    DOI: 10.1142/S0129183115500813
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    Cited by:

    1. Chen, Jin & Sun, Dihua & Li, Yang & Zhao, Min & Liu, Weining & Jin, Shuang, 2021. "Human–machine cooperative scheme for car-following control of the connected and automated vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    2. Junyan Han & Xiaoyuan Wang & Gang Wang, 2022. "Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review," Sustainability, MDPI, vol. 14(13), pages 1-27, July.

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