基于Anylogic仿真的兰州西站客运枢纽换乘衔接优化研究
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摘要
客运枢纽内换乘周转层缓冲设施、导向标识的布局、客流流线的安排直接影响到行人的换乘效率,对其进行优化可以更好地服务旅客。为改善兰州地铁1号线建成之后兰州西站内换乘衔接问题,在阐述兰州西站客运枢纽概况的基础上,针对该站换乘存在的问题建立Anylogic仿真模型,找到当前换乘瓶颈,确定客流出行目的比例,提出改善措施,并以区域客流密度、换乘疏散时间为统计指标,对比改善效果。结果表明,通过改善措施可有效减少拥挤程度,最高变化量达到53.26%,疏散时间减少17.02min,达到优化目的,对于改善枢纽内乘客的换乘现状具有重要作用,同时具有较强的可实施性。
The buffering facilities, the layout of the guiding signs, and the arrangement of the passenger flow lines of transfer layer in the passenger transport hub station directly affect the transfer efficiency of passengers, and their optimization can provide better services for passengers. To improve the transfer problem in Lanzhou West Railway Station after the completion of Lanzhou Metro Line 1, based on the overview of Lanzhou West Railway Station hub, the Anylogic simulation model is established for the problem of the station transfer. The paper finds the current transfer bottleneck, determines the target ratio of passenger flow, and puts forward improvement measures, and compares the effect of improvement with regional passenger flow density and transfer evacuation time as statistical indicators. The results show that the improvement measures can effectively reduce the congestion degree, the highest change is 53.26%, and the evacuation time is reduced by 17.02 min, which is the optimization purpose, plays an important role in improving the transfer status of passengers in the hub, and has strong adoptability.
The buffering facilities, the layout of the guiding signs, and the arrangement of the passenger flow lines of transfer layer in the passenger transport hub station directly affect the transfer efficiency of passengers, and their optimization can provide better services for passengers. To improve the transfer problem in Lanzhou West Railway Station after the completion of Lanzhou Metro Line 1, based on the overview of Lanzhou West Railway Station hub, the Anylogic simulation model is established for the problem of the station transfer. The paper finds the current transfer bottleneck, determines the target ratio of passenger flow, and puts forward improvement measures, and compares the effect of improvement with regional passenger flow density and transfer evacuation time as statistical indicators. The results show that the improvement measures can effectively reduce the congestion degree, the highest change is 53.26%, and the evacuation time is reduced by 17.02 min, which is the optimization purpose, plays an important role in improving the transfer status of passengers in the hub, and has strong adoptability.
引文
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[2]LI W,ZHU W.A Dynamic Simulation Model of Passenger Flow Distribution on Schedule-based Rail Transit Networks with Train Delays[J].Journal of Traffic and Transportation Engineering(English Edition),2016,3(4):364-373.
[3]丁青艳,王喜富,单庆超,等.轨道交通行人流运动建模及仿真[J].交通运输系统工程与信息,2011,11(5):99-106.DING Qingyan,WANG Xifu,SHAN Qingchao,et al.Modeling and Simulation of Rail Transit Pedestrian Flow[J].Journal of Transportation Systems Engineering and Information Technology,2011,11(5):99-106.
[4]傅志妍,陈坚,李武,等.城市轨道交通车站乘客聚散行为仿真及优化[J].铁道运输与经济,2018,40(2):100-104,110.FU Zhiyan,CHEN Jian,LI Wu,et al.Optimizing the Diffusion Behavior of Passengers in an Urban Rail Transit Station through Simulation Methods[J].Railway Transport and Economy,2018,40(02):100-104,110.
[5]孙文桥,刘启钢,凌熙,等.铁路物流中心设计方案仿真评估优化技术研究[J].铁道货运,2017,35(9):1-6.SUN Wenqiao,LIU Qigang,LING Xi,et al.Study on Optimization Technology of Simulation and Evaluation of Railway Logistic Center Design Program[J].Railway Freight Transport,2017,35(9):1-6.
[6]黄小纯,杨耀.城市轨道交通车站行人冲突类型及致因分析[J].城市轨道交通研究,2014,17(3):88-90.HUANG Xiaochun,YANG Yao.Analysis of the Types and Causation of Pedestrian Conflicts at Metro Station[J].Urban Mass Transit,2014,17(3):88-90.
[7]黄文成,帅斌,刘聪.基于Anylogic的岛式站台客流特性分析及换乘楼梯改进[J].城市轨道交通研究,2016,19(10):97-101.HUANG Wencheng,SHUAI Bin,LIU Cong.Passenger Flow Characteristics on Island Platform and Improvement of Transfer Stair based on AnyLogic[J].Urban Mass Transit,2016,19(10):97-101.
[8]赵路敏,郑宇,谢金鑫.基于Anylogic的城市轨道交通车站仿真应用研究[J].铁路计算机应用,2016,25(3):62-66.ZHAO Lumin,ZHENG Yu,XIE Jinxin.Simulation of Urban Transit Station based on Anylogic[J].Railway Computer Application,2016,25(3):62-66.
[9]薛艳青,张喜.基于Anylogic仿真技术的北京南站客流组织优化分析[J].铁路计算机应用,2012,21(2):5-8.XUE Yanqing,ZHANG Xi.Analysis on Optimizations of Passenger Flow Organizations in Beijing South Station based on Anylogic Simulation[J].Railway Computer Application,2012,21(2):5-8.
[10]单庆超,张秀媛,张朝峰.社会力模型在行人运动建模中的应用综述[J].城市交通,2011,9(7):71-77.SHAN Qingchao,ZHANG Xiuyuan,ZHANG Chaofeng.AReview of Application of Social Force Model for Pedestrian Dynamics[J].Urban Transport of China,2011,9(7):71-77.
[11]冷柯岑.交通枢纽内轨道交通换乘缓冲设施通过能力研究[D].北京:北京交通大学,2017.