摘要
城市轨道交通跨线运营不仅可以满足多元化的乘客出行需求,提升乘客出行效率,还可以拉近市郊与市区核心地段在时间与空间上的距离.在考虑跨线乘客的列车选择概率基础上,分析不同类别的乘客出行时间成本,构建以乘客总出行时间成本最小为目标的跨线运营优化模型,并采用遗传算法进行模型求解.以S市地铁Ⅰ号线跨入Ⅱ号线的方案为例,验证模型的可行性,求解得到不同列车满载率下的最优行车密度,为城市轨道交通线网实现跨线运营组织提供参考依据.
Cross line operation mode of urban rail transit can not only meet diversified travel needs of passengers and improve efficiency of passenger travel,but also shorten the time and space distance between suburban and urban core areas.In this paper,the travel time cost of different types of passengers is analyzed on the basis of considering the train selection probability for passengers to choose cross train or transfer.An optimization model of cross line operation organization is established with the objective function of minimizing the total travel time cost of passengers.The model is solved by genetic algorithm.The scheme of metro LineⅠof city S crossing into LineⅡis used as an example to verify the feasibility of the model,and the optimal train density under different train load rates is obtained.This study can provide a reference for the cross line operation organization of urban rail transit.
作者
罗钦
林彬
顾孟琪
杨良
张晓春
LUO Qin;LIN Bin;GU Mengqi;YANG Liang;ZHANG Xiaochun(College of Urban Transportation and Logistics,Shenzhen Technology University,Guangdong Rail Transit Intelligent Operation and Maintenance Technology Development Center,Shenzhen 518118,Guangdong Province,P.R.China;Shenzhen Urban Transport Planning Center Co.Ltd.,Shenzhen 518057,Guangdong Province,P.R.China)
出处
《深圳大学学报（理工版）》
CAS
CSCD
北大核心
2022年第5期600-607,共8页
Journal of Shenzhen University(Science and Engineering)
基金
国家社会科学基金资助项目(20BGL301)。
关键词
城市轨道交通
运营组织
跨线运营
行车间隔
换乘客流
出行时间
遗传算法
urban rail transit
operation organization
cross line operation
train interval
transfer ridership
travel time
genetic algorithm
