系统仿真学报 ›› 2023, Vol. 35 ›› Issue (5): 1120-1130.doi: 10.16182/j.issn1004731x.joss.22-0965

• 论文 • 上一篇    

基于增强心理行为异质性的改进社会力模型

刘延东(), 黄高翔, 陈文()   

  1. 中国石油大学(北京)克拉玛依校区 文理学院,新疆 克拉玛依 834000
  • 收稿日期:2022-08-16 修回日期:2022-10-17 出版日期:2023-05-30 发布日期:2023-05-22
  • 通讯作者: 陈文 E-mail:2020016086@st.cupk.edu.cn;chenwen@cupk.edu.cn
  • 作者简介:刘延东(2002-),男,本科生,研究方向为人工智能、人群疏散等。E-mail: 2020016086@st.cupk.edu.cn
  • 基金资助:
    新疆维吾尔自治区自然科学基金(2021D01A202);新疆维吾尔自治区自然科学青年项目(XJEDU2018Y063)

Improved Social Force Model Based on Enhancing Psych behavioral Heterogeneity

Yandong Liu(), Gaoxiang Huang, Wen Chen()   

  1. College of Arts and Sciences, China University of Petroleum (Beijing) at Karamay, Karamay 834000, China
  • Received:2022-08-16 Revised:2022-10-17 Online:2023-05-30 Published:2023-05-22
  • Contact: Wen Chen E-mail:2020016086@st.cupk.edu.cn;chenwen@cupk.edu.cn

摘要:

模拟焦虑情绪下的人群疏散,对于解决逃生等运动学问题具有重要意义。国内外大多数研究在人群疏散问题中单纯引入焦虑因子这一介质,并未考虑在此类紧急环境下外界关键因素如何影响焦虑因子。提出了改进社会力模型(improving social force model, ISFM),结合基于Agent的踩踏风险评估,量化了环境关键变量对焦虑因子的影响,引入心理作用力参数,将焦虑因子对现实疏散过程中所造成的影响通过物理矢量的方式作用在模型中。ISFM通过增强个体心理行为异质性,实现了个体运动矢量的选择。对比真实疏散情景,实验结果表明:ISFM更能反映个体疏散行为,更具说服力。

关键词: 人群踩踏, 系统工程, 社会力模型, 心理动力学, 多智能体

Abstract:

Simulating the evacuation behavior of people under anxiety is of great significance for solving the kinematic problems such as escape. At present, most at home and abroad studies consider the anxiety factors as the only medium of population evacuation without considering how external key factors affect anxiety factors in such emergency environments. The improved social force model is proposed, combined with Agent-based stampede risk assessment, the influence of key environmental variables on the anxiety factor is quantified. The psychological force parameters are introduced, and the impact of the anxiety factor on the actual evacuation process is applied to the model through the physical vector. The model carries out the selection of individual motor vectors by enhancing the heterogeneity of individual psychological behavior. Compared with the real evacuation scenario, the experiment results show that the improved social force model can better describe the individual evacuation behavior and are more realistic and convincing.

Key words: crowd stampede, systems engineering, social force model(SFM), psychodynamic, multi-agent

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