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Simulation Model of Emergency Evacuation Based on Artificial Fish Swarm Algorithm

机译:基于人工鱼群算法的紧急疏散仿真模型

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Emergent events and catastrophe accidents in large public places are increasing in recent years. In order to ensure successful escape from the accident places and provide a scientific and efficient plan for evacuees, an evacuation model based on artificial fish swarm algorithm(AFSA) for large public place is presented in this paper. In the model, each evacuee is considered as an intelligent artificial fish, and the foraging process of fish swarm is used to simulate evacuation behavior. Route choice strategy is proposed to simulate the psychological behaviors of evacuation individuals. Evacuation Simulation algorithm based on artificial fish swarm is proposed and applied to large stadium evacuation problem. The experimental and simulated results show that the presented model and algorithm can simulate the characteristics of the evacuation individuals, the evacuation rules and the uncertain factors in the evacuation process. The modelling approach has good effect in evacuation problem.
机译:近年来,大型公共场所的突发事件和巨灾事故正在增加。为确保成功从事故场所逃生,并为疏散人员提供科学有效的计划,提出了一种基于人工鱼群算法的大型公共场所疏散模型。在该模型中,每个撤离人员都被视为智能人工鱼,并且使用鱼群的觅食过程来模拟疏散行为。提出了路径选择策略来模拟疏散人员的心理行为。提出了一种基于人工鱼群的疏散仿真算法,并将其应用于大型体育馆的疏散问题。实验和仿真结果表明,所提出的模型和算法可以模拟疏散人员的特征,疏散规则和疏散过程中的不确定因素。该建模方法在疏散问题上具有良好的效果。

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