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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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    1. Haghani, Milad & Sarvi, Majid, 2018. "Crowd behaviour and motion: Empirical methods," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 253-294.
    2. Liu, Qian, 2018. "A social force model for the crowd evacuation in a terrorist attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 315-330.
    3. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
    4. Sticco, I.M. & Frank, G.A. & Dorso, C.O., 2021. "Social Force Model parameter testing and optimization using a high stress real-life situation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    5. Zhang, Dawei & Zhu, Haitao & Hostikka, Simo & Qiu, Shi, 2019. "Pedestrian dynamics in a heterogeneous bidirectional flow: Overtaking behaviour and lane formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 72-84.
    6. Qu, Yunchao & Xiao, Yao & Wu, Jianjun & Tang, Tao & Gao, Ziyou, 2018. "Modeling detour behavior of pedestrian dynamics under different conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1153-1167.
    7. Li, Wenhang & Gong, Jianhua & Yu, Ping & Shen, Shen & Li, Rong & Duan, Qishen, 2015. "Simulation and analysis of congestion risk during escalator transfers using a modified social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 28-40.
    8. Jin, Cheng-Jie & Jiang, Rui & Liu, Tongfei & Li, Dawei & Wang, Hao & Liu, Xianglong, 2021. "Pedestrian dynamics with different corridor widths: Investigation on a series of uni-directional and bi-directional experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    9. Parisi, Daniel R. & Gilman, Marcelo & Moldovan, Herman, 2009. "A modification of the Social Force Model can reproduce experimental data of pedestrian flows in normal conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3600-3608.
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    Cited by:

    1. Hu, Xiangmin & Chen, Tao, 2024. "Crowd dynamics of self-propelled individuals with collision avoidance considering anticipation and intrusion aversion," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    2. 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).
    3. Tian, Jiangtao & Li, Xingli & Guo, Qinghua & Kuang, Hua, 2024. "Dynamics characteristic of pedestrians’ particular overtaking behavior based on an improved social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).

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