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A new cellular automata traffic flow model considering asynchronous update of vehicle velocity

Author

Listed:
  • Qi-Lang Li

    (School of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, P. R. China)

  • Rui Jiang

    (MOE Key Laboratory for Urban Transportation, Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • Zhong-Jun Ding

    (School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, P. R. China)

  • Bing-Hong Wang

    (Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China)

Abstract

This study examines the cellular automata traffic flow model, which considers the asynchronous update of vehicles’ velocities. Computer simulations are used to identify three typical phases: linear free flow phase, nonlinear moving phase and traffic jam phase. Compared to the original NaSch model, the system of the present model can reach the maximum flow when the vehicle density is higher. The influence of the delay probability and the maximum time step in which drivers intend to keep their current velocity on fundamental diagram is discussed.

Suggested Citation

  • Qi-Lang Li & Rui Jiang & Zhong-Jun Ding & Bing-Hong Wang, 2020. "A new cellular automata traffic flow model considering asynchronous update of vehicle velocity," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 31(12), pages 1-10, December.
    • Handle: RePEc:wsi:ijmpcx:v:31:y:2020:i:12:n:s0129183120501673
    DOI: 10.1142/S0129183120501673
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    Cited by:

    1. Lu, Xingyu & Zhu, Huibing & Wang, Jieguang & Zhang, Ming & Zhou, Chunchun & Zhang, Huafeng, 2022. "Modeling impacts of the tunnel section on the mixed traffic flow: A case study of Jiaodong’ao Tunnel in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).

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