地铁车站客流疏导优化

詹银霞 ,  李晓雷 ,  杨斌 ,  李欣雨

科学技术与工程 ›› 2024, Vol. 24 ›› Issue (1) :344-351

PDF (2780KB)
科学技术与工程 ›› 2024, Vol. 24 ›› Issue (1) :344-351 DOI: 10.12404/j.issn.1671-1815.2301370
交通运输

地铁车站客流疏导优化

作者信息 +

Optimization of Passenger Flow at Subway Stations

Author information +
文章历史 +

摘要

为解决日常轨道交通站点拥堵问题,提高地铁车站客运效率,利用AnyLogic仿真软件对地铁站进行模拟仿真,得到地铁站行人密度图,分析地铁站拥堵瓶颈点,从行人流线和站内设施设备布局两个角度提出针对性优化措施。结果表明:地铁站站厅层安检区和站台层扶梯组通常为地铁站拥堵瓶颈区,改善安检区域与扶梯出口区域的拥堵是提升地铁站客运效率的关键。在安检口增设独立安检设施,安排工作人员引导拥堵区人流是既经济又高效的措施。采取措施后,拥堵区行人密度有所下降,验证了优化措施的有效性。该方法可为地铁站日常客流组织管理提供参考。

Abstract

In order to solve the congestion problem of daily rail transit station and improve the passenger transportation efficiency of subway stations, AnyLogic simulation software was used to simulate the subway station, the pedestrian density map of subway stations was obtained, the bottlenecks of subway stations was analyzed, and measures from the perspectives of pedestrian streamlines and the layout of facilities and equipment in the station was proposed. The results show that the security inspection and the platform-level escalator group of the subway station are usually the congestion bottleneck area of the subway station. Improving the congestion in the security inspection area and the exit area of the escalator is the key to improve the passenger transportation efficiency of the subway station. It is an economical and efficient measure to add an independent security inspection system at the security checkpoint and arrange staff to guide the flow of people in congested areas in due course. After the measures taken, the pedestrian density in the congestion are decreased, which verified the effectiveness of the optimization measures. This method can provide a reference for the daily passenger flow organization and management of subway stations.

引用本文

引用格式 ▾
詹银霞, 李晓雷, 杨斌, 李欣雨. 地铁车站客流疏导优化[J]. 科学技术与工程, 2024, 24(1): 344-351 DOI:10.12404/j.issn.1671-1815.2301370
ZHAN Yin-xia, LI Xiao-lei, YANG Bin, LI Xin-yu. Optimization of Passenger Flow at Subway Stations[J]. Science Technology and Engineering, 2024, 24(1): 344-351 DOI:10.12404/j.issn.1671-1815.2301370

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

基金资助

2020年度重庆市教委科技项目(KJQN202000750)

2021年度国家自然科学基金(52102408)

2021年度重庆市自然科学基金面上项目(cstc2021jcyj-msxm2239)

2022年度长沙理工大学湖南省智能道路与车路合作重点实验室开放基金(kfj210704)

2022年度重庆市教育科学规划项目(K22YD207083)

PDF (2780KB)

29

访问

0

被引

详细

导航
相关文章

/

〈 〉