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Simulation of bi-directional pedestrian flow under high densities using a modified social force model

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  • Jin, Cheng-Jie
  • Shi, Ke-Da
  • Jiang, Rui
  • Li, Dawei
  • Fang, Shuyi

Abstract

The social force model has been widely used in pedestrian flow studies, but its limitations are also clear. Especially at high densities, it cannot simulate the lane formation in bi-directional flow. Therefore, in order to solve this problem, we propose a new modified social force model. The values of many parameters are reset by sensitivity analysis. In particular, we introduce a new parameter named deflection distance, which becomes a great help for modeling. Based on the video data collected from four large-scale experiments, the validity and robustness of our model are verified. The simulation results in the ring road show that the proposed model can describe the bi-directional movement well: the lane formation can be successful even when the density is as high as 9 ped/m2, and the fundamental diagrams after lane formation can be quantitatively similar to that reported in the experiments. In addition, the simulation results in the straight corridor also help to validate our model.

Suggested Citation

  • Jin, Cheng-Jie & Shi, Ke-Da & Jiang, Rui & Li, Dawei & Fang, Shuyi, 2023. "Simulation of bi-directional pedestrian flow under high densities using a modified social force model," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:chsofr:v:172:y:2023:i:c:s0960077923004605
    DOI: 10.1016/j.chaos.2023.113559
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    References listed on IDEAS

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    Cited by:

    1. Yang, Junheng & Zang, Xiaodong & Chen, Weiying & Luo, Qiang & Wang, Rui & Liu, Yuanqian, 2024. "Improved social force model based on pedestrian collision avoidance behavior in counterflow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 642(C).

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