基于排队论的地铁车站设备布局优化研究  

Research on Facility Layout Optimization of Metro Station Based on Queuing Theory

作　　者：李可 刘斌[1] 李帅 LI Ke;LIU Bin;LI Shuai(School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China)

机构地区：[1]兰州交通大学交通运输学院,甘肃兰州730070

出　　处：《系统仿真技术》2022年第3期168-174,共7页System Simulation Technology

基　　金：国家自然科学基金(71761023);甘肃省教育厅“双一流”科研重点项目(GSSYLXM-04)。

摘　　要：地铁车站站厅层设施布局将直接关系到乘客进出站流线走向和乘客的走行效率。针对城市轨道交通车站大客流时期行人进站慢的问题,提出了基于排队论的车站设备设施布局优化模型。该模型以兰州地铁某车站为背景,以车站高峰小时客流量作为数据支撑,采用差分遗传算法进行案例求解,随后利用AnyLogic仿真软件对设施布局结果进行仿真建模以验证其合理性。仿真结果表明:所提出的地铁车站内部设施布局设置模型可有效减少乘客进站消耗时间,对地铁车站的运营管理等具有一定的指导意义和参考价值。The layout of the subway station facilities in the station hall has influence on the passenger flow trend and efficiency. Considering the problem of slow passenger flow in large passenger flow period in urban rail transit station,an optimization model for station facility layout is put forward based on queuing theory. In this model,Lanzhou metro station is taken as the example case and differential genetic algorithm is used to solve the optimal solution with the support of peak hour traffic data.AnyLogic simulation software is used to conduct simulation modeling on the results of facility layout to verify the rationality of the model. The simulation result show that,the proposed model of subway station facility layout can effectively reduce the consumption time of passengers entering the station,and has certain guiding significance and reference value to the operation and management of the station.

关 键 词：城市轨道交通 设备布局 排队论 遗传算法 AnyLogic仿真 

分 类 号：U231.1[交通运输工程—道路与铁道工程]