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An extended social force model for pedestrian evacuation under disturbance fluctuation force

Author

Listed:
  • Juan Wei

    (College of Computer Science, Chengdu Normal University, Chengdu 611130, P. R. China†Key Laboratory of Pattern Recognition and Intelligent Information Processing, Institutions of Higher Education of Sichuan Province, Chengdu University Chengdu 610106, P. R. China)

  • Wenjie Fan

    (#x2020;Key Laboratory of Pattern Recognition and Intelligent Information Processing, Institutions of Higher Education of Sichuan Province, Chengdu University Chengdu 610106, P. R. China)

  • Yangyong Guo

    (College of Computer Science, Chengdu Normal University, Chengdu 611130, P. R. China‡Key Laboratory of Interior Layout Optimization and Security, Institutions of Higher Education of Sichuan Province, Chengdu Normal University, Chengdu 611130, P. R. China)

  • Jun Hu

    (College of Computer Science, Chengdu Normal University, Chengdu 611130, P. R. China‡Key Laboratory of Interior Layout Optimization and Security, Institutions of Higher Education of Sichuan Province, Chengdu Normal University, Chengdu 611130, P. R. China)

  • Yuanyuan Fang

    (College of Computer Science, Chengdu Normal University, Chengdu 611130, P. R. China)

Abstract

In order to characterize the disturbance fluctuation of pedestrian flow caused by the disturbance during evacuation and the state change of pedestrian flow, this paper improves the social force model by introducing disturbance fluctuation force. First, a momentum equation is established to describe the change of pedestrian flow under the influence of disturbance fluctuation, and the mathematical expression of disturbance fluctuation force is given. Second, the evacuation processes of pedestrian flow with and without “queue jumpers” are simulated with the simulation experimental platform, and the key factors influencing the performance of the model are deeply studied through numerical analysis. The results showed that: when the expected velocity is the same, the bigger the angle between the cross-section position vector and the initial expected velocity is, the more serious the congestion occurs at the exit. In addition, when the crowd density is small, the larger the angle, the higher the evacuation efficiency and vice versa.

Suggested Citation

  • Juan Wei & Wenjie Fan & Yangyong Guo & Jun Hu & Yuanyuan Fang, 2020. "An extended social force model for pedestrian evacuation under disturbance fluctuation force," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 31(07), pages 1-13, July.
    • Handle: RePEc:wsi:ijmpcx:v:31:y:2020:i:07:n:s0129183120501028
    DOI: 10.1142/S0129183120501028
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    Cited by:

    1. Siyuan Ma & Yongqing Guo & Fulu Wei & Qingyin Li & Zhenyu Wang, 2022. "An Improved Social Force Model of Pedestrian Twice–Crossing Based on Spatial–Temporal Trajectory Characteristics," Sustainability, MDPI, vol. 14(24), pages 1-14, December.

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