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A modified social force model for crowd evacuation considering collision predicting behaviors

Author

Listed:
  • Ding, Ning
  • Zhu, Yu
  • Liu, Xinyan
  • Dong, Dapeng
  • Wang, Yang

Abstract

The social force model is one of the most common models used in the study of pedestrian dynamics. In the social force model, there are oscillation in the movement of pedestrians. To address the oscillation phenomenon, this paper modifies the way of setting psychological forces and judgment conditions based on previous research. By comparing the simulation results with the real experimental results, the evacuation time results are basically the same, which validates the effectiveness of the modified social force model. The simulation results show that the modified social force model eliminates the phenomenon of evacuee velocity oscillations near fixed obstacles in the original model and fixes the phenomenon of abnormal behavior of evacuees during collisions. In addition, we simulate different numbers of evacuees (i.e.,25,50,100,200) and the results show that the modified social force model successfully replicates the phenomenon of arch congestion during evacuation.

Suggested Citation

  • Ding, Ning & Zhu, Yu & Liu, Xinyan & Dong, Dapeng & Wang, Yang, 2024. "A modified social force model for crowd evacuation considering collision predicting behaviors," Applied Mathematics and Computation, Elsevier, vol. 466(C).
    • Handle: RePEc:eee:apmaco:v:466:y:2024:i:c:s0096300323006173
    DOI: 10.1016/j.amc.2023.128448
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    References listed on IDEAS

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    1. Weifeng, Fang & Lizhong, Yang & Weicheng, Fan, 2003. "Simulation of bi-direction pedestrian movement using a cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 321(3), pages 633-640.
    2. Xu Chen & Martin Treiber & Venkatesan Kanagaraj & Haiying Li, 2018. "Social force models for pedestrian traffic – state of the art," Transport Reviews, Taylor & Francis Journals, vol. 38(5), pages 625-653, September.
    3. Zhang, Jianxin & Liu, Hong & Li, Yan & Qin, Xin & Wang, Shouna, 2018. "Video-driven group behavior simulation based on social comparison theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 620-634.
    4. Seyfried, Armin & Steffen, Bernhard & Lippert, Thomas, 2006. "Basics of modelling the pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(1), pages 232-238.
    5. Li, Xiaomeng & Chen, Tao & Pan, Lili & Shen, Shifei & Yuan, Hongyong, 2008. "Lattice gas simulation and experiment study of evacuation dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(22), pages 5457-5465.
    6. Kang, Zengxin & Zhang, Lei & Li, Kun, 2019. "An improved social force model for pedestrian dynamics in shipwrecks," Applied Mathematics and Computation, Elsevier, vol. 348(C), pages 355-362.
    7. 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.
    8. von Krüchten, Cornelia & Schadschneider, Andreas, 2017. "Empirical study on social groups in pedestrian evacuation dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 475(C), pages 129-141.
    9. Shi, Meng & Lee, Eric Wai Ming & Ma, Yi, 2018. "A novel grid-based mesoscopic model for evacuation dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 198-210.
    10. 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.
    11. Han, Yanbin & Liu, Hong, 2017. "Modified social force model based on information transmission toward crowd evacuation simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 499-509.
    12. Liu, Qiujia & Lu, Linjun & Zhang, Yijing & Hu, Miaoqing, 2022. "Modeling the dynamics of pedestrian evacuation in a complex environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    13. 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.
    14. Hou, Lei & Liu, Jian-Guo & Pan, Xue & Wang, Bing-Hong, 2014. "A social force evacuation model with the leadership effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 93-99.
    15. Zhang, Hao & Liu, Hong & Qin, Xin & Liu, Baoxi, 2018. "Modified two-layer social force model for emergency earthquake evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1107-1119.
    16. Li, Chuan-Yao & Yang, Rui-Yu & Xu, Guang-ming, 2019. "Impacts of group behavior on boarding process at the platform of high speed railway station," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    17. Zhang, Dezhen & Huang, Gaoyue & Ji, Chengtao & Liu, Huiying & Tang, Ying, 2021. "Pedestrian evacuation modeling and simulation in multi-exit scenarios," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    18. Kirchner, Ansgar & Schadschneider, Andreas, 2002. "Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(1), pages 260-276.
    19. Wan, Jiahui & Sui, Jie & Yu, Hua, 2014. "Research on evacuation in the subway station in China based on the Combined Social Force Model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 33-46.
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