考虑恐慌情绪的元胞自动机疏散模型研究
Study on Cellular Automata Evacuation Model Considering Panic Emotion
王志龙1
作者信息
- 1. 沈阳航空航天大学民用航空学院,辽宁沈阳 110136
- 折叠
摘要
为了研究恐慌情绪对行人疏散效率的影响,在SIS情绪感染模型的基础上赋予行人恐慌免疫能力,并定义了相应的更新规则,利用元胞自动机(CA)模型,建立了一个考虑恐慌情绪传播的应急疏散模型.使用MATLAB软件建模对情绪阈值、情绪衰减速率、疏散人数等重要情绪因子进行仿真模拟.结果表明:与未考虑恐慌情绪的疏散模型相比,高度恐慌下的行人会导致整体疏散时间延长,而且随着疏散人数的增加疏散时间在某个节点会迅速增加;通过研究情绪阈值对疏散的影响,发现个体状态对整体疏散时间有显著影响,同时情绪衰减速率影响个体状态变化速率且存在一个决定情绪蔓延或衰减的临界值.
Abstract
In order to study the effect of panic emotion on the efficiency of pedestrian evacuation,pan-ic immunity is given to pedestrians based on the SIS emotional infection model,and the corresponding updating rules are defined.A cellular automaton(CA)model is used to establish an emergency evacua-tion model considering the spread of panic emotion.Firstly,MATLAB software is used to model emo-tional threshold,emotional decay rate,evacuation number and other important emotional factors.The re-sults show that compared with the evacuation model without considering panic emotion,the overall evac-uation time will be prolonged when pedestrians are in high panic,and the evacuation time will increase rapidly at a certain point with the increase of the number of evacuees.Secondly,by studying the influence of emotional threshold on evacuation,it can be found that individual state has a significant impact on the overall evacuation time,and the rate of emotional decay affects the rate of individual state change and there is a critical value that determines the spread or decay of emotions.
关键词
元胞自动机/应急疏散/恐慌情绪/情绪阈值Key words
cellular automata/emergency evacuation/panic emotion/emotional threshold引用本文复制引用
出版年
2024
NETL
NSTL
万方数据