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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
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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。 In order to study the effect of panic emotion on the efficiency of pedestrian evacuation,panic 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 evacuation model considering the spread of panic emotion.Firstly,MATLAB software is used to model emotional threshold,emotional decay rate,evacuation number and other important emotional factors.The results show that compared with the evacuation model without considering panic emotion,the overall evacuation 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.
作者 王志龙 WANG Zhilong(Civil Aviation College,Shenyang Aerospace University,Shenyang 110136,China)
出处 《山东航空学院学报》 2024年第4期100-106,共7页 Journal of Binzhou University
基金 安徽高校自然科学重点项目(KJ2021A1411)并联混合动力汽车等效油耗最小能量控制策略研究。
关键词 元胞自动机 应急疏散 恐慌情绪 情绪阈值 cellular automata emergency evacuation panic emotion emotional threshold
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