铁道运输与经济2024，Vol.46Issue(12)：227-236,10.DOI:10.16668/j.cnki.issn.1003-1421.2024.12.25
基于虚拟编组的城市轨道交通列车开行方案研究
Train Operation Scheme of Urban Rail Transit Based on Virtual Coupling
摘要
Abstract
To match the uneven spatio-temporal distribution of the passenger flow in urban rail transit,and improve passenger satisfaction and operational costs of enterprises,this paper proposed an operation scheme model for urban rail transit based on virtual coupling.The model took into account the interests of both passengers and enterprises and aimed to minimize the sum of waiting time for passengers and travel distance of vehicles.Meanwhile,the considered factors include the train load factor,number of available vehicles,and number of available trains,with the virtual coupling/uncoupling station location,train departure frequency and train formation number employed as decision variables.Finally,a bi-objective integer nonlinear programming model was built.After linearization and normalization,the solution was conducted by taking a certain urban rail line as an example.The results show that compared with the traditional fixed formation and multi-formation operation schemes,the virtual coupling operation scheme of urban rail transit with a leader train in a three-train formation can reduce the waiting time of passengers by 9.34%and 7.31%respectively,and decrease the travel distance of vehicles by 12.29%and 10.93%respectively.Additionally,the accuracy is higher in matching passenger demand,which is conducive to improving passenger satisfaction and reducing the operational cost of enterprises.Considering the operation conditions of the virtual coupling mode,this mode is more suitable for lines with a high degree of automation,thus providing references for the decision-making of enterprises in the future.关键词
城市轨道交通/虚拟编组/开行方案/运力匹配/整数规划Key words
Urban Rail Transit/Virtual Coupling/Operation Scheme/Capacity Matching/Integer Programming分类
交通工程引用本文复制引用
程志伟,潘寒川,黎旭帆,刘志钢..基于虚拟编组的城市轨道交通列车开行方案研究[J].铁道运输与经济,2024,46(12):227-236,10.基金项目
国家自然科学基金项目(72371154) （72371154）
