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Evacuation dynamic and exit optimization of a supermarket based on particle swarm optimization

机译:基于粒子群算法的超市疏散动态与出口优化

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A modified particle swarm optimization algorithm is proposed in this paper to investigate the dynamic of pedestrian evacuation from a fire in a public building a supermarket with multiple exits and configurations of counters. Two distinctive evacuation behaviours featured by the shortest-path strategy and the following-up strategy are simulated in the model, accounting for different categories of age and sex of the pedestrians along with the impact of the fire, including gases, heat and smoke. To examine the relationship among the progress of the overall evacuation and the layout and configuration of the site, a series of simulations are conducted in various settings: without a fire and with a fire at different locations. Those experiments reveal a general pattern of two-phase evacuation, i.e., a steep section and a flat section, in addition to the impact of the presence of multiple exits on the evacuation along with the geographic locations of the exits. For the study site, our simulations indicated the deficiency of the configuration and the current layout of this site in the process of evacuation and verified the availability of proposed solutions to resolve the deficiency. More specifically, for improvement of the effectiveness of the evacuation from the site, adding an exit between Exit 6 and Exit 7 and expanding the corridor at the right side of Exit 7 would significantly reduce the evacuation time. (C) 2014 Elsevier B.V. All rights reserved.
机译:提出了一种改进的粒子群优化算法,研究了公共出入口具有多个出口和柜台配置的超市中火灾时行人疏散的动态。在模型中,模拟了两种最短距离疏散行为,即最短路径策略和后续策略,这些行为说明了行人的年龄和性别的不同类别以及火灾的影响,包括气体,热量和烟雾。为了检查总体疏散进度与场地布局和配置之间的关系,在各种环境下进行了一系列模拟:无火,并且在不同位置有火。这些实验揭示了两相疏散的一般模式,即陡峭部分和平坦部分,以及存在多个出口对疏散的影响以及出口的地理位置。对于研究站点,我们的模拟表明了疏散过程中该站点的配置和当前布局的不足,并验证了解决该不足的建议解决方案的可用性。更具体地说,为了提高从现场疏散的效率,在6号出口和7号出口之间增加一个出口并扩大7号出口右侧的走廊将大大减少疏散时间。 (C)2014 Elsevier B.V.保留所有权利。

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