|本期目录/Table of Contents|

[1]陈一洲,尹浩东,孙旋,等.基于灾变的人群疏散避灾路径优化及应用[J].中国安全生产科学技术,2018,14(10):25-31.[doi:10.11731/j.issn.1673-193x.2018.10.004]
　CHEN Yizhou,YIN Haodong,SUN Xuan,et al.Optimization and application of escape path for crowd evacuation based on cataclysm[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(10):25-31.[doi:10.11731/j.issn.1673-193x.2018.10.004]
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基于灾变的人群疏散避灾路径优化及应用
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
14
期数:
2018年10期
页码:
25-31
栏目:
学术论著
出版日期:
2018-10-31

文章信息/Info

Title:
Optimization and application of escape path for crowd evacuation based on cataclysm
文章编号:
1673-193X(2018)-10-0025-07
作者:
陈一洲1; 尹浩东2; 孙旋1; 晏风1; 王大鹏1
（1.中国建筑科学研究院有限公司，北京 100013；2.北京交通大学轨道交通控制与安全国家重点实验室，北京 100044）
Author(s):
CHEN Yizhou1;  YIN Haodong2;  SUN Xuan1;  YAN Feng1;  WANG Dapeng1
(1. China Academy of Building Research, Beijing 100013, China;2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China)
关键词:
灾变; 疏散; 避灾路径; 优化
Keywords:
cataclysm;  evacuation;  escape path;  optimization
分类号:
X921
DOI:
10.11731/j.issn.1673-193x.2018.10.004
文献标志码:
A
摘要:
突发事件条件下的应急疏散是一个复杂的过程，不仅要考虑时间因素，而且要考虑疏散网络中各路段的受灾风险水平。因此，对于人群快速转移避灾路径的解算结果，不仅要求快速，还要求避灾。基于灾害预测的疏散路径优化理论模型，在求解时变灾害条件下，集成考虑实时与未来灾害影响的转移避灾路径优化算法。采用C#程序设计语言和Visual studio 2013平台，开发了进行模型算法实现的原型系统，并通过算例进行了说明。结果表明：在预先设置的灾害情景中，提出的模型算法可以提前规划出避开灾害且疏散时间较短的路径，为制定应急预案提供参考依据。
Abstract:
Emergency evacuation is a complicated process under emergency conditions, it not only considers the time factors, but also reflects on the risk level of each road sections in the evacuation network. Therefore, the calculation results of escape path in the rapid transfer for the crowd not only require fast, but also required disaster avoidance. Based on the optimal theoretical model of evacuation route for the crowd in the disaster prediction, under the condition of timevarying disaster, we integrated the optimization algorithm of the transfer of disaster avoidance path to consider the realtime and impact of future disasters. A prototype system for implementing model algorithm are developed based on C# programming language and Visual studio 2013 platform, and are verified with an example. The results show that the model algorithm proposed in this paper can plan the route of avoiding disaster and short evacuation time in advance, and provide reference for making contingency plans in the preciously programmed disaster scenarios.

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备注/Memo

备注/Memo:
收稿日期： 2018-06-12
基金项目： 中国建筑科学研究院科研项目(20160111330730034)；国家重点研发计划项目（2016YFC0802508）
作者简介： 陈一洲，博士，副研究员，主要研究方向为人员疏散、风险评估及应急管理等。
更新日期/Last Update: 2018-11-07