Crowd evacuation under emergency is an important task of world public security research and practice. In order to describe the microemotional contagion of evacuation individuals, a cellular automata-based evacuation model of emotional contagion crowd based on the classical SIS model of infectious diseases is proposed in this paper. Firstly, the state of evacuation individual is defined as “emotional susceptible” and “emotional infective.” Then, a dynamic model considering emotional contagion is established with cellular automata. Based on the models of static floor field and dynamic floor field, the emotion updating rules and state updating rules are constructed. The influence of perception domain radius on pedestrian evacuation process is analyzed through experiments. The conclusion can provide evacuation guidance for evacuation individuals. The comparative experiment results show that the improved model can reflect the movement characteristics of evacuation individuals effectively. The evacuation efficiency of the whole system is also effectively improved due to the consideration of emotional contagion and evacuation strategy.

中文翻译：

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基于元胞自动机的情绪传染人群疏散模型

紧急情况下的人群疏散是世界公共安全研究与实践的重要任务。为了描述疏散个体的微情绪传染，本文提出了一种基于经典传染病SIS模型的基于细胞自动机的情感传染人群疏散模型。首先，将疏散人员的状态定义为“情绪易感性”和“情绪传染性”。然后，利用细胞自动机建立了考虑情绪传染的动态模型。基于静态场场和动态场场模型，构建了情绪更新规则和状态更新规则。通过实验分析了感知域半径对行人疏散过程的影响。结论可为疏散人员提供疏散指导。对比实验结果表明，改进后的模型可以有效地反映疏散人员的运动特征。考虑到情绪传染和疏散策略，整个系统的疏散效率也得到了有效提高。