突发事件情景下地铁站人员应急疏散问题综述

被引：20

作者：

王付宇 ^{[1
,2
]}

王骏 ^{[1
]}

机构：

[1] 安徽工业大学管理科学与工程学院

[2] 上海理工大学管理学院

来源：

计算机应用研究 | 2018年 / 35卷 / 10期

关键词：

突发事件; 地铁站; 人员应急疏散; 蚁群算法;

D O I：

暂无

中图分类号：

TP18 [人工智能理论]; U231.96 [];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ; 0814 ; 082301 ;

摘要：

突发事件情景下,合理地进行地铁站人员应急疏散是减少人员伤亡和财产损失的有效途径。从地铁站人员应急疏散的仿真研究、不同规则下疏散模型的研究和智能算法在疏散建模中的应用三个角度对突发事件下地铁站人员应急疏散问题进行综述,分析了当前疏散模型、求解算法以及行人特征数据的不完善之处。提出了把行人的心理行为特征、建筑物设施因素引入地铁站人员应急疏散问题中,并利用改进的蚁群算法求解最优疏散路径的重要价值。最后,展望了今后地铁站人员应急疏散问题研究的发展趋势。

引用

页码：2888 / 2893

页数：6

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