| 基于粒子群算法(PSO)的人员疏散动力学模型 |
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| 引用本文： | 郑瑶辰,陈建桥,魏俊红,郭细伟.基于粒子群算法(PSO)的人员疏散动力学模型[J].武汉理工大学学报(交通科学与工程版),2012,36(2):283-287. |
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| 作者姓名： | 郑瑶辰 陈建桥 魏俊红 郭细伟 |
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| 作者单位： | 1. 华中科技大学力学系 武汉430074
2. 工程结构分析与安全评定湖北省重点实验室 武汉430074 |
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| 摘 要： | 基于粒子群算法思想,建立紧急情况下公共场馆人员疏散的动力学模型.该模型考虑人员之间的相互作用,依据人员实时局部密度的变化改变个体的最大速度以及保有区域尺寸,具有时空非均匀的特点.定义个体冲量以及受伤冲量阈值,考虑人员受伤对疏散过程的影响,同时还比较了多出口疏散与单出口疏散的特点和效率.算例结果表明,疏散结果与元胞自动机模型相似,理想化更新流程的结果小于其他疏散模型的结果.
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| 关 键 词： | 人员疏散 粒子群算法 局部密度 理想化更新 受伤 |
Dynamics for Pedestrian Evacuation Based on PSO |
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| Zheng Yaochen
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Chen Jianqiao
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Wei Junhong
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Guo Xiwei.Dynamics for Pedestrian Evacuation Based on PSO[J].journal of wuhan university of technology(transportation science&engineering),2012,36(2):283-287. |
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| Authors: | Zheng Yaochen Chen Jianqiao Wei Junhong Guo Xiwei |
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| Institution: | Zheng Yaochen Chen Jianqiao Wei Junhong Guo Xiwei (Department of Mechanics,Huazhong University of Science and Technology,Wuhan 430074,China)(Hubei Key Laboratory for Engineering Structural Analysis and Safety Assessment,Wuhan 430074,China) |
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| Abstract: | By applying the evolutionary algorithm of Particle Swarm Optimization(PSO),a new dynamic model for pedestrian evacuation is developed.In this newly proposed model,with the increase of local density of a particle,both the maximal velocity and the particle size decrease,implying that the model possesses space-time non-uniformity features.At the same time,we introduced two threshold values for damage and injury and investigated the influences of these parameters.Numerical results showed similar characteristics with those based on Cellular Automata(CA). |
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| Keywords: | evacuation PSO local density perfect process injury |
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