基于AnyLogic的地铁换乘站客流组织仿真与优化  

Simulation and Optimization of Passenger Flow Organization in Subway Interchange Stations Based on AnyLogic

作　　者：李欢 LI Huan(School of Transportation,Xi'an Traffic Engineering Institute,Xi'an 710300,China)

机构地区：[1]西安交通工程学院,交通运输学院,陕西西安710300

出　　处：《微型电脑应用》2024年第10期51-53,57,共4页Microcomputer Applications

基　　金：西安交通工程学院2023年度中青年基金项目(2023KY-26)。

摘　　要：地铁换乘站是城市轨道交通网络中的一个重要节点,在遇到突发大客流时容易出现客流拥堵和流线交叉现象。对地铁换乘站设计合理的客流组织方案,可以提高旅客运输效率。为验证换乘站的客流组织方案的有效性,以西安地铁科技路站为例,运用AnyLogic仿真软件构建模型。根据仿真结果对车站客流流线和设备设施配置提出优化措施,再以客流密度图和平均换乘时间为评价指标,对优化前后的仿真结果进行比较。结果证明,优化后的客流组织方案降低了拥堵区域的客流密度,减少了乘客的平均换乘时间,提高了换乘站的客流组织效率。The subway interchange station is an important node in urban rail transit network,which is prone to passenger flow congestion and streamline crossing when encountering sudden large passenger flow.A reasonable passenger flow organization scheme for subway interchange stations can improve passenger transportation efficiency.In order to verify the effectiveness of the passenger flow organization scheme of the interchange stations,AnyLogic simulation software is used to build a model,tak-ing Xi'an Metro Keji Road station as an example.The optimization measures are proposed for the passenger flow lines and equipment and facilities configuration of the station according to the simulation results.The passenger flow density map and av-erage interchange time are taken as evaluation indicators to compare the simulation results before and after optimization.The results show that the optimized passenger flow organization scheme can reduce the passenger flow density in the congestion area,reduce the average interchange time of passengers,and improve the passenger flow organization efficiency of the inter-change stations.

关 键 词：地铁换乘站 客流组织 AnyLogic仿真 优化 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]