中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2025, Vol. 44 ›› Issue (1): 96-103.DOI: 10.3969/j.issn.1674-0696.2025.01.12

• 交通+大数据人工智能 • 上一篇    

基于疏散引导的高峰时段地铁站应急疏散方案优化

田杰,苏宇鹏,吴桐,朱震军   

  1. (南京林业大学 汽车与交通工程学院,江苏 南京 210037)
  • 收稿日期:2024-05-06 修回日期:2024-08-03 发布日期:2025-01-20
  • 作者简介:田杰(1971—),女,湖北荆门人,副教授,博士,主要从事车辆系统动力学控制、无人驾驶等方面的研究。E-mail:njtianjie@163.com
  • 基金资助:
    江苏高校哲学社会科学研究一般项目 (2020SJA0125)

Optimization of Emergency Evacuation Plan for Subway Stations during Peak Hours Based on Evacuation Guidance

TIAN Jie, SU Yupeng, WU Tong, ZHU Zhenjun   

  1. (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, Jiangsu, China)
  • Received:2024-05-06 Revised:2024-08-03 Published:2025-01-20

摘要: 为保障突发事故时高峰时段地铁站行人应急疏散的效率与安全,对现有疏散方案进行了优化。首先,分析了高峰时段地铁站的行人疏散特征,阐明了在高峰时段增设疏散引导的必要性,总结了疏散中常见的瓶颈拥堵点。随后,针对各瓶颈拥堵点的位置设计了疏散引导措施,分别设计了现有疏散方案与增设疏散引导后的优化方案。最后,通过Anylogic软件对2组疏散方案进行了仿真,对比分析了多个疏散评价指标,验证了优化方案的有效性。研究结果表明,现有疏散方案可在平峰时段按时完成疏散,但其在高峰时段的总疏散时间超过了地铁安全疏散规范中要求的360 s,而优化方案在高峰时段的总疏散时间为352 s,闸机最长通过时间为278 s,均优于现有疏散方案。研究结果可为高峰时段地铁站疏散方案中疏散引导的具体设计提供参考。

关键词: 交通运输工程;疏散引导;高峰时段;地铁车站;疏散方案优化;多指标评价

Abstract: In order to ensure the efficiency and safety of pedestrian emergency evacuation in subway stations during peak hours in case of sudden accidents, the existing evacuation scheme was optimized. Firstly, the characteristics of pedestrian evacuation in subway stations during peak hours were analyzed, the necessity of adding evacuation guidance during peak hours was clarified, and the common bottleneck congestion points in evacuation were summarized. Subsequently, evacuation guidance measures were designed for the location of each bottleneck congestion point, and the existing evacuation plan and the optimization plan after adding evacuation guidance were designed respectively. Finally, two kinds of evacuation schemes were simulated by Anylogic software, and multiple evacuation evaluation indexes were compared and analyzed to verify the effectiveness of the optimization scheme. The research shows that the existing evacuation scheme can complete the evacuation on time during off peak hours, but its total evacuation time during peak hours exceeds the 360 seconds required by subway safety evacuation regulations. While the total evacuation time of the optimization scheme during the peak hours is 352 seconds and the longest passing time of the gate is 278 seconds, which are both better than those of the existing evacuation schemes. The research results can provide reference for the specific design of evacuation guidance in the evacuation plan of subway stations during peak hours.

Key words: traffic and transportation engineering; evacuation guidance; peak hours; subway station; optimization of evacuation plan; multi-index evaluation

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