地铁安检客流智能引导及组织优化方法研究

doi:10.16097/j.cnki.1009-6744.2023.01.014

交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (1): 123-130.DOI: 10.16097/j.cnki.1009-6744.2023.01.014

• 智能交通系统与信息技术 • 上一篇下一篇

地铁安检客流智能引导及组织优化方法研究

丁小兵^*，史淦，洪晨，刘志钢

上海工程技术大学，城市轨道交通学院，上海 201620

收稿日期:2022-11-30 修回日期:2022-12-14 接受日期:2022-12-21 出版日期:2023-02-25 发布日期:2023-02-16
作者简介:丁小兵(1982- )，男，江苏东台人，讲师，博士。
基金资助:
上海市哲学社会科学规划课题(2022BGL001)；国家自然科学基金(52072235)

Intelligent Guidance and Organization Optimization of Subway Security Inspection Passenger Flow

DING Xiao-bing^*, SHI Gan, HONG Chen, LIU Zhi-gang

School of Urban Rail Transit, Shanghai University of Engineering and Technology, Shanghai 201620, China

Received:2022-11-30 Revised:2022-12-14 Accepted:2022-12-21 Online:2023-02-25 Published:2023-02-16
Supported by:
The Shanghai Philosophy and Social Science Planning Project (2022BGL001)；The National Natural Science Foundation of China (52072235)

摘要/Abstract

摘要： 为避免因地铁车站进站客流的空间不均衡性所导致的乘客安检排队时间过长、车站拥堵，甚至踩踏事故，本文设计了地铁安检智能引导分流系统并基于此提出客流组织优化方法。首先，在传统地铁安检模式的基础上设置智能引导分流系统，根据乘客行李类型将安检台划分为大包、小包/无包安检通道，实时采集安检区域的客流分布特征；其次，在排队等候理论的基础上综合考虑乘客转移时间和转移意愿，计算最优安检排队决策；最后，通过引导设备指引乘客选择最优安检通道。选取上海地铁1号线上海火车站地铁站晚高峰时期的客流数据作为案例，进行计算仿真分析，并通过实地实验进行校准验证。结果表明：运用本文方法后，地铁车站各安检通道的客流排队压力显著降低，计算仿真结果与实际安检情况误差为3.2%，且优化后大包乘客的平均安检排队效率提升38%，小包/无包乘客的平均安检排队效率提升16%。研究成果为提高乘客安检排队进站效率，有效避免地铁车站拥堵提供理论依据与方法支持。

关键词: 交通工程, 地铁安检, 智能引导分流系统, 客流组织优化, 排队论, 安检排队效率

Abstract: To reduce the queuing time, station congestion and even stampede accidents caused by the spatial imbalance of the passenger flow entering the subway station, this paper proposes an intelligent guidance and diversion system for subway security inspection and an optimization method for passenger flow organization. Based on the traditional subway security inspection mode, an intelligent guided diversion system is developed. According to the type of passenger baggage, the security inspection station is divided into big bag, small bag/no bag security inspection channels, and the passenger flow distribution characteristics in the security inspection area are collected in real time. Then, the optimal security queuing decision is calculated based on queuing theory and in consideration of the transfer time and passengers transfer intention. Through guiding equipment to help passengers choose the optimal security inspection channel, the passenger flow data of Shanghai Metro Line No. 1 in the evening peak is selected as the example for simulation analysis, and the calibration verification is carried out through field experiments. The results show that the queuing pressure of passenger flow in each security inspection channel is significantly reduced with the proposed method. The error between the calculated simulation results and the actual security inspection situation is 3.2% , and the average security inspection queuing efficiency of large package passengers is increased by 38% after optimization. The average security inspection queuing efficiency of small package/non package passengers is increased by 16%. The research results provide theoretical basis and method support for improving the efficiency of passengers queuing at security inspection and effectively alleviate subway station congestion.

Key words: traffic engineering, subway security check, intelligent guidance and diversion system, optimization of passenger flow organization, queuing theory, security check queuing efficiency

中图分类号:

U491.31

丁小兵, 史淦, 洪晨, 刘志钢. 地铁安检客流智能引导及组织优化方法研究[J]. 交通运输系统工程与信息, 2023, 23(1): 123-130.

DING Xiao-bing, SHI Gan, HONG Chen, LIU Zhi-gang. Intelligent Guidance and Organization Optimization of Subway Security Inspection Passenger Flow[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(1): 123-130.

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地铁安检客流智能引导及组织优化方法研究

Intelligent Guidance and Organization Optimization of Subway Security Inspection Passenger Flow

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