Journal of Computer Applications ›› 2021, Vol. 41 ›› Issue (8): 2460-2465.DOI: 10.11772/j.issn.1001-9081.2020101550

Special Issue: 第二十届中国虚拟现实大会(ChinaVR 2020)

• ChinaVR 2020 • Previous Articles     Next Articles

Analysis and improvement of panic concept in social force model

DING Nanzhe1,2, LIU Tingting3, LIU Zhen1, WANG Yuanyi3, CHAI Yanjie1, JIANG Lan4   

  1. 1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo Zhejiang 315211, China;
    2. Information Center, Ningbo Cigarette Factory, Ningbo Zhejiang 315040, China;
    3. Faculty of Engineering and Information Technology, College of Science and Technology, Ningbo University, Cixi Zhejiang 315300, China;
    4. Office of Human Resources, Zhejiang Business Technology Institute, Ningbo Zhejiang 315012, China
  • Received:2020-10-10 Revised:2020-12-05 Online:2021-08-10 Published:2021-01-27
  • Supported by:
    This work is partially supported by the Natural Science Foundation of Zhejiang Province (LY20F020007), the Ningbo Public Welfare Science and Technology Program (2019B10032, 2019C50024).

社会力模型中恐慌度概念的分析和改进

丁男哲1,2, 刘婷婷3, 刘箴1, 王媛怡3, 柴艳杰1, 蒋斓4   

  1. 1. 宁波大学 信息科学与工程学院, 浙江 宁波 315211;
    2. 宁波卷烟厂 信息中心, 浙江 宁波 315040;
    3. 宁波大学科学技术学院 信息工程学院, 浙江 慈溪 315300;
    4. 浙江工商职业技术学院 人事处, 浙江 宁波 315012
  • 通讯作者: 刘婷婷
  • 作者简介:丁男哲(1991-),男,浙江丽水人,工程师,硕士研究生,主要研究方向:计算机仿真、自动化控制;刘婷婷(1980-),女,浙江建德人,副教授,博士,主要研究方向:虚拟现实、人工智能;刘箴(1965-),男,辽宁铁岭人,研究员,博士,主要研究方向:虚拟现实、人工智能;王媛怡(1986-),女,浙江海宁人,讲师,博士,主要研究方向:算子代数、算子空间;柴艳杰(1968-),辽宁开原人,讲师,主要研究方向:虚拟现实;蒋斓(1991-),女,浙江宁波人,硕士,主要研究方向:虚拟现实、舆情传播。
  • 基金资助:
    浙江省自然科学基金资助项目(LY20F020007);宁波市公益类科技计划项目(2019B10032,2019C50024)。

Abstract: Social force model is a classical model in crowd simulation. Since it was proposed in 1995, the model has been widely used and modified. In 2000, the concept of panic degree was added to the model to propose an improved version. Although many studies focus on social force model, there are few studies on this concept. Therefore, some key parameters and the concept of panic degree in the social force model were analyzed, and the change of panic degree was used to explain the phenomenons of "fast is slow" and "herd behavior" in crowd evacuation. To overcome the problem in the original model:very few pedestrians may not follow others or may not evacuate at the exit in some conditions caused by the not detailed enough description of pedestrian perception in social force model, the visual field range description of the pedestrian was added and the self-motion state for the pedestrian was redefined and other methods were performed to optimize the social force model. Experimental results show that the improved model can simulate the crowd's herd phenomenon well and is helpful for understanding the concept of panic degree in social force model.

Key words: social force model, panic degree, visual field, crowd, herd effect

摘要: 社会力模型是人群仿真领域的经典模型,自1995年提出后就被广为应用和调整。该模型2000年又推出一个改进版,增加了恐慌度概念。虽然目前基于社会力模型的研究已经很多,但是针对恐慌度概念分析的研究尚不多见。因此梳理了社会力模型中关键参数物理意义和恐慌度的概念,用恐慌度的变化来解释人群疏散中的“快即是慢”与“从众行为”现象。指出了社会力模型中由于对行人感知描述得不够细致,导致在一定条件下,人群仿真结果存在个别行人不从众与到达出口却不撤离的问题。针对所提问题,通过增加行人视野范围描述以及重定义行人自运动状态等方式来完善社会力模型。实验结果显示,改进后的模型能够较好地模拟人群的从众现象,并且有助于加深对社会力恐慌度概念的理解。

关键词: 社会力模型, 恐慌度, 视野, 人群, 羊群效应

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