系统仿真学报 ›› 2015, Vol. 27 ›› Issue (10): 2432-2438.

• 虚拟现实与可视化 • 上一篇    下一篇

突发事件中人群跟随现象的一种仿真模型

方昊, 刘箴, 陆涛, 刘良平, 刘婷婷, 刘翠娟   

  1. 宁波大学信息科学与工程学院,宁波 315211
  • 收稿日期:2015-06-14 修回日期:2015-07-28 出版日期:2015-10-08 发布日期:2020-08-07
  • 作者简介:方昊(1991-),男,安徽,硕士生,研究方向为虚拟现实。
  • 基金资助:
    国家自然科学基金(61373068); 宁波市科技计划项目(2015A610128; 2015C50053; 2013D10011; 2015D10011; 2014C50018); 高等学校博士学科点专项科研基金(20133305110004)

Simulation Model of Crowd Following Phenomenon in Emergencies

Fang Hao, Liu Zhen, Lu Tao, Liu Liangping, Liu Tingting, Liu Cuijuan   

  1. Faculty of Information Science and Technology, Ningbo University, Ningbo 315211, China
  • Received:2015-06-14 Revised:2015-07-28 Online:2015-10-08 Published:2020-08-07

摘要: 突发事件的群体行为研究对于应急管理具有重要的现实意义,现有的群体模型大多侧重在碰撞检测、运动规划等方面。根据紧急事件的监控录像分析,人群跟随行为十分明显,建立跟随模型是群体仿真中的一个有趣话题。结合经典的社会力模型和OCEAN个性理论提出了跟随行为模型,引入了恐慌度的概念,给出了个体跟随的判定条件,构造了个体的速度公式。实验结果表明,所提出的跟随模型能够较好地模拟人群集体行为特征。

关键词: 跟随, 人群仿真, 个性, 社会力

Abstract: Researches on crowd behavior in emergent events are important practical significance for emergency management, most of the current crowd models are collision detection, motion plan and so on. According to the emergency scene analysis of surveillance video, following behaviors of crowd are obviously, modeling following behaviors is an interesting topic in crowd simulation. A following model was proposed based on classical social force model and OCEAN personlity theory, the concept of panic was introduced,, and following conditions of individual was set up, the speed formulas of individual were constructed. Experimental results show that the following model can closely simulate the collective behavior of emergent crowd.

Key words: following, crowd simulation, personality, social force

中图分类号: