Study on the Simulation and Optimization of Pedestrian Flow in Metro Stations Based on Anylogic

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Abstract

Metro stations, as the distribution center for metro passengers, queuing and congestion are very serious during peak commuting hours or when there is a sudden influx of passengers. Based on the example of Yuzhi Road Station of Beijing Metro Line 8, this paper analyzes the characteristics of passenger flow distributed in the station, using Anylogic to simulate the behavior of pedestrians and trains in and out of metro stations, the data of security queues and the average speed of pedestrians are calculated to analyze the rationality of the design of metro stations, and to propose the optimization of the number and speed of the security queues, and to check the optimization effect through modeling simulation and data statistics to provide reference for the operation management of metro stations and to avoid pedestrian congestion. Using Anylogic software to simulate the behavior of pedestrians and the entry and exit of trains in the subway station, the data of security queues and the average speed of pedestrians are calculated to analyze the rationality of the design of metro stations, and to propose the optimization of the number and speed of the security queues, and to check the optimization effect through modeling simulation and data statistics to provide reference for the operation management of metro stations.
基于Anylogic的地铁车站行人流仿真与优化研究
地铁站作为地铁乘客的集散地,在上下班高峰时段或乘客突然涌入时,排队和拥堵现象十分严重。本文以北京地铁8号线育智路站为例,分析了该站客流分布特点,利用Anylogic软件模拟了行人和列车进出地铁站的行为,计算了安全队列数据和行人平均速度,分析了地铁车站设计的合理性,并提出了安全队列数量和速度的优化方案。并通过建模仿真和数据统计来检验优化效果,为地铁车站的运营管理和避免行人拥堵提供参考。利用Anylogic软件对地铁站内行人行为和列车进出站进行仿真,计算出安检队列数据和行人平均速度,分析地铁站设计的合理性,提出安检队列数量和速度的优化方案,并通过建模仿真和数据统计来检验优化效果,为地铁站运营管理提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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