城轨跨线运营下车辆基地规模分配与运营组织关系匹配研究  

Study on Matching Relationship Between Depot Scale Allocation and Operation Organization Under Cross-Line Operation of Urban Rail Transit

作　　者：龚辉波 李培坤 陈旭梅[2] 张宇[2] 马可凡 GONG Huibo;LI Peikun;CHEN Xumei;ZHANG Yu;MA Kefan(Station Design Institute,Guangzhou Metro Design&Research Institute Co.,Ltd.,Guangzhou 510010,Guangdong,China;Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China)

机构地区：[1]广州地铁设计研究院股份有限公司站场设计所,广东广州510010 [2]北京交通大学综合交通运输大数据应用技术交通运输行业重点实验室,北京100044

出　　处：《铁道运输与经济》2023年第6期132-138,共7页Railway Transport and Economy

基　　金：广州地铁设计研究院股份有限公司专项研究课题(KY-2021-047)。

摘　　要：城轨网络化运营下的多车辆基地规模分配成为线网规划阶段亟待解决的实际应用问题。从全网运营前集中发车、早高峰加车及收车回场3个阶段出发,在考虑全网车辆基地规模与出入线能力约束以及高峰加车对正线运营车辆影响的基础上,构建了以全网车辆总空驶里程最短为优化目标的混合整数线性规划模型。将此方法应用于某个多线路跨线运营且存在多交路运营模式的实际案例中,分别计算了各车辆基地规模在无约束条件、规模均匀分配条件及实际规模约束条件下3种场景的模型计算结果。结果表明:无约束条件下的空驶里程最短,实际规模约束条件下的最短空驶里程较无规模约束条件场景增加2.32%,而规模均匀分配下的空驶里程较无规模约束条件场景增加164.2%。The multi-depot scale allocation under the networked operation of urban rail transit has become a practical problem to be solved urgently in the planning stage of the line network.Therefore,this paper started from the three stages of centralized departure before the operation of the whole network,train addition in the morning peak,and return of trains and considered the constraints on the depot scale and the access line capacity of the whole network,as well as the influence of adding trains in the morning peak on trains operating on the main line.On this basis,the paper constructed a mixed integer linear programming model with the shortest total deadhead mileage of trains in the whole network as the optimization objective.This method was applied to a practical case featuring the multi-line cross-line operation and multi-crossing operation mode,and the model calculation results of each depot scale were obtained under unconstraint,uniform scale distribution,and actual scale constraint conditions,respectively.The calculation results show that the deadhead mileage under the unconstraint condition is the shortest;the shortest deadhead mileage under the actual scale constraint condition is 2.32%higher than that under the unconstraint condition,and the deadhead mileage under the uniform scale distribution increases by 164.2%compared with that under the unconstraint condition.

关 键 词：城市轨道交通 车辆基地 空驶里程 混合整数线性规划 规模分配 

分 类 号：U279.1[机械工程—车辆工程]