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

Juan Wei, Wenjie Fan, Yangyong Guo, Jun Hu and Yuanyuan Fang
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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

International Journal of Modern Physics C (IJMPC), 2020, vol. 31, issue 07, 1-13

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.

Keywords: Pedestrian flow; evacuation; social force model; disturbance fluctuation force (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0129183120501028

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