地铁车站客流优化研究——以南京地铁2号线油坊桥站为例

Weihong Ni;Jiahao Yu;Hong Cai;Meimei Bai;Bin Wu
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引用次数: 4

摘要

本研究利用仿真软件AnyLogic建立地铁线路的车站仿真模型。首先,建立了地铁车站环境的基本模型,并在此基础上进行了合理的假设和简化。在此基础上,绘制了客流步行路径图,设计了客流管理的仿真变量和功能。以中国南京地铁2号线油坊桥站为例,对该站的真实客流数据进行统计分析。为模拟车站客流管理,考虑输入旅客空间直径、客流产生率、自动收票机和安检机的延误率、登机口数量等参数。对早晚高峰时段客流管理进行优化,并根据优化结果提出合理化建议,为城市轨道交通系统建设规划和车站运营能力预评价提供理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on Optimization of Passenger Flow at a Metro Station Based on AnyLogic—Case Study of Youfangqiao Station of Nanjing Metro Line 2
In this study, simulation software AnyLogic was used to establish a station simulation model for a metro line. First, a basic model of the environment of the metro station was drawn, and accordingly, reasonable assumptions and simplifications were proposed. Then, a diagram of the passenger walking path was created and the simulation variables and functions for passenger flow management were designed. Considering Youfangqiao Station of Nanjing Metro Line 2 in China as an example, the real passenger flow data of this station were statistically analyzed. To simulate the station passenger flow management, input parameters such as the passenger space diameter, passenger flow generation rate, delay rate of automatic fare collection equipment and security check machine, and the number of gates were considered. Passenger flow management was optimized for the morning and evening peak periods, and reasonable suggestions were proposed based on the optimization results, providing a theoretical basis for the construction planning and pre-evaluation of station operation capacities of urban rail transit systems.
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CiteScore
7.80
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