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Pedestrian evacuation modeling and simulation in multi-exit scenarios

Author

Listed:
  • Zhang, Dezhen
  • Huang, Gaoyue
  • Ji, Chengtao
  • Liu, Huiying
  • Tang, Ying

Abstract

This paper proposes a multi-exit evacuation model based on a continuous model for the pedestrian evacuation problem. Firstly, it is determined that the distance between pedestrians and exits, the pedestrian density near exits, and the width of exits are the main factors for exit selection. A pedestrian multi-exit selection model is defined by taking the three factors into account. Secondly, a pedestrian evacuation model is constructed by considering the impact of pedestrian psychological factors on expected speed and exit attractiveness. Finally, the multi-exit evacuation is simulated, and the pedestrian evacuation process is tested on three conditions. The effects of pedestrian density near the exit and the width of exit are analyzed on the final simulation. The simulation results show that the evacuation model can effectively simulate the pedestrian evacuation process in multi-exit scenarios.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:phsmap:v:582:y:2021:i:c:s0378437121005458
    DOI: 10.1016/j.physa.2021.126272
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    References listed on IDEAS

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    Cited by:

    1. Liu, Zhichen & Li, Ying & Zhang, Zhaoyi & Yu, Wenbo, 2022. "A new evacuation accessibility analysis approach based on spatial information," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    2. Liu, Jiaming & Zhang, Hui & Ding, Ning & Li, Yuntao, 2024. "A modified social force model for sudden attack evacuation based on Yerkes–Dodson law and the tendency toward low risk areas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    3. Zhihai, Tang & Longcheng, Yang & Jun, Hu & Xiaoning, Li & Lei, You, 2024. "An improved social force model for improving pedestrian avoidance by reducing search size," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    4. Liu, Tundong & Gao, Fengqiang & Zhou, Weihong & Yan, Yuyue, 2024. "Density control in pedestrian evacuation with incorrect feedback information: Data correction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    5. 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).

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