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Heterogeneous cellular automata subway station personnel evacuation model based on cooperative behavior

机译:基于合作行为的异质蜂窝自动机地铁站人疏散模型

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In order to study the influence of cooperative behavior in the evacuation process of subway station personnel, and considering the heterogeneity of evacuees, the heterogeneous cellular automata method is adopted to establish a human evacuation model of subway station under cooperative behavior based on the floor field model. In the research process, the evacuated persons are divided into two types, which are seeking cooperation and accepting cooperation. Then, the effects of different cooperative behavior probability ratios of seeking cooperative personnel on evacuation efficiency, evacuation process, and evacuation bottleneck are analyzed through simulation. The result shows that cooperative behavior can effectively improve evacuation efficiency of the subway station, but it is limited by cooperative probability and the proportion of people seeking cooperation; Cooperative behavior plays a role in the whole evacuation process, which is mainly reflected in the later stage of evacuation and will promote the gathering of evacuees. The higher the probability of cooperation, the shorter the evacuation bottleneck formation time, the duration, and overall evacuation time, which will help improve the emergency safety of subway stations.
机译:为了研究地铁站人员疏散过程中的合作行为的影响,考虑到疏散物的异质性,基于地板实地模型,采用异质细胞自动机方法在基于地板模型的合作行为下建立地铁站的人疏散模型。在研究过程中,疏散人员分为两种类型,正在寻求合作和接受合作。然后,通过仿真分析了寻求合作人员对抽空效率,疏散过程和抽空瓶颈的不同协作行为概率比的影响。结果表明,合作行为能够有效地提高地铁站的疏散效率,但受合作概率的限制和寻求合作的人的比例;合作行为在整个疏散过程中发挥作用,主要反映在后来的疏散阶段,并将促进撤离的聚会。合作概率越高,疏散瓶颈形成时间越短,持续时间和整体疏散时间,这将有助于提高地铁站的紧急安全。

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