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Improving heuristics-based model to reproduce lane formation

Author

Listed:
  • Ning Guo

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

  • Hao-Xiang Liu

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

  • Rui Jiang

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

  • Bin Jia

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

  • Mao-Bin Hu

    (School of Engineering Science, University of Science and Technology of China, Hefei 230026, P. R. China)

Abstract

Lane formation is an important self-organized phenomenon in bidirectional pedestrian flow. Our experiment shows that in a wide range of pedestrian density, quick lane formation can be observed in a ring corridor. It is shown that the original heuristics-based model fails to reproduce lane formation with the increase of pedestrian density. This is because a pedestrian cannot correctly evaluate the target direction, when he/she is too close to others. We propose an improved heuristics-based model, in which the objective function of the target direction has been modified. Simulation results are in agreement with experimental ones.

Suggested Citation

  • Ning Guo & Hao-Xiang Liu & Rui Jiang & Bin Jia & Mao-Bin Hu, 2018. "Improving heuristics-based model to reproduce lane formation," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 29(08), pages 1-13, August.
    • Handle: RePEc:wsi:ijmpcx:v:29:y:2018:i:08:n:s0129183118500699
    DOI: 10.1142/S0129183118500699
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