人群应急疏散中一种多智能体情绪感染仿真模型

为了从情绪的视角分析紧急情境下人群的疏散行为,梳理了现有情绪感染的研究工作,总结了人群紧急状况下行为特点.采用智能体描述人群个体,提出一种多智能体情绪感染模型.其主体框架分为感知层、情绪层、感染层、行为层和行动层.归纳了产生情绪感染现象的3个条件及情绪感染的3个规则,提出了情绪感染的算法,考虑个体的个性和个体间距离因素,采用情绪强度和人群紧密度来计算个体疏散速度.用C#语言编制了仿真实验,采用真实的地震疏散案例,验证了仿真疏散时间和实际观测的基本一致.通过与以往基于传染病思路的情绪感染模型对比,所提出的模型可以更好地描述情绪感染从局部到整体的过程.实验结果表明,所提出的模型可以推演情绪驱动下的群体聚集行为,有望为制定应急疏散预案提供一种可视化分析方法.

A Multi-Agent Emotional Contagion Model in Crowd Emergency Evacuation

In order to analyze the evacuation behavior of the crowd in the emergency situation from the perspective of emotion,existing works on emotional contagion are reviewed and behavior characteristics of the crowd in emergency situations are summarized.A multi-agent emotional contagion model is proposed,in which individuals in the crowd are represented by agents.Its main frame is divided into perception layer,emotion layer,infection layer,behavior layer and action layer.Three conditions for the generation of emotional contagion and three rules for emotional contagion are summarized,algorithm for emotional contagion is proposed and individual personality and inter-individual distance factors are considered.Emotional intensity and crowd density are used to calculate the evacuation rate of the individual.A simulation experiment was compiled in C#language.Evacuation time is basically consistent in the simulation and in the real earthquake case.Compared with the existing emotional contagion model that based on infectious disease ideas,the proposed model can better describe the contagion process from local to global.The experimental results show that the proposed model can deduce crowd’s emotion-driven aggregation behaviors.It could be a visual analysis method for the formulation of emergency evacuation plans.