客流波动条件下城市轨道交通列车开行方案研究  

Train Service Planning for Urban Rail Transit with Passenger Fluctuation

作　　者：陈胜波[1] 何世伟[1] 何必胜[1] 

机构地区：[1]北京交通大学交通运输学院,北京硕士研究生100044

出　　处：《城市轨道交通研究》2013年第10期53-58,共6页Urban Mass Transit

基　　金：铁道部科技研究开发计划(2011X003);国家科技支撑计划(2011BAG01B01);中央高校资助项目(2011YJS234)

摘　　要：针对城市轨道交通线路断面客流随时间和空间波动的特点,建立多目标优化模型,求解客流波动条件下的城市轨道交通列车开行方案。在分析了长大线路组织多交路运营模式的基础上,合理考虑区间断面客流量、列车区间满载率和车底数量,将旅客乘车舒适度纳入出行成本,建立了企业运营成本最小化和乘客出行成本最小化的双目标优化模型。以北京地铁4号线为例,采用商业数学规划求解软件Lingo 12.0,得到不同时段的列车交路计划和列车开行频率,验证了模型的有效性。Considering the daily fluctuation of urban rail transit passenger section flow both in time and space dimensions, this paper develops a multi-objective optimization model to achieve the train service planning adapting to the fluctuation of passenger flow. Through analyzing the multiroutine operation plan of a long line, and putting the crosssection passenger volume, the train capacity rate in section and the number of train sets into consideration, this multi- objective optimization model for train plan aims at reducing the train operation cost and passengers＇ total travel cost as well, which contains passengers travelling comfort. Lingo 12.0 software is used to solve the routing plan and train service frequency in different periods. This model is tested on Beijing metro Line 4 and its effectiveness is verified.

关 键 词：城市轨道交通 列车开行方案 客流波动 多目标优化模型 

分 类 号：U292[交通运输工程—交通运输规划与管理] U231[交通运输工程—道路与铁道工程]