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Tree hierarchical directed evacuation network model based on artificial fish swarm algorithm

机译:基于人工鱼类群算法的树分层定向疏散网络模型

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摘要

With the increase of emergencies in large public places, emergency evacuation research has become an important and urgent issue. This paper first proposes a tree hierarchical evacuation network. According to the hierarchical path selection strategy, the evacuation routes are obtained and sorted by the length of route. This hierarchical path selection strategy is more realistic than using the straight line distance. An evacuation model based on hierarchical directed evacuation network is presented in this paper, and a hierarchical directed artificial fish swarm algorithm is proposed to solve the evacuation problem. The model simulates the movements of pedestrians by means of preying, swarming, following and waiting behaviors of artificial fish swarm algorithm. During the evacuation process, the effects of congestion, retrograde and blocking time on evacuation speed and route selection are considered. The simulation results show that the proposed model and algorithm can effectively improve the evacuation efficiency in a stadium, and provide scientific and reasonable path guidance.
机译:随着大型公共场所紧急情况的增加,紧急疏散研究已成为一个重要和紧急的问题。本文首先提出了树分层疏散网络。根据分层路径选择策略,通过路径的长度获得并排序疏散路线。该分层路径选择策略比使用直线距离更加真实。本文提出了一种基于分层定向疏散网络的抽空模型,提出了一种分层定向人工鱼类群算法来解决疏散问题。该模型通过捕食,蜂拥而道,追随人工鱼类群算法的等待行为来模拟行人的运动。在疏散过程中,考虑了拥塞,逆行和阻塞时间对抽空速度和路径选择的影响。仿真结果表明,该模型和算法可以有效地提高体育场中的疏散效率,提供科学合理的路径指导。

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