摘要
在苏州市轨道交通网络化运营条件下,研究协调优化各线列车衔接计划的方法,使不同线路的列车在换乘站形成良好衔接,能够缩短乘客的换乘等待时间并减少乘客滞留。基于高峰时段、平峰时段不同的优化目标,提出网络换乘站列车衔接方案优化模型,接着基于遗传算法设计相应的求解方法,并结合苏州市轨道交通的换乘客流特征与运营特征,用算例证明模型和算法的有效性,为网络列车衔接计划的协调编制提供指导建议。
Under the condition of Suzhou rail transit network operation,this paper studies the method of coordinating and optimizing the train connection plan of each line,so that the trains of different lines can form a good connection at the transfer station,which can shorten the transfer waiting time of passengers and reduce passengers retention.Based on the different optimization objectives of peak period and flat peak period,this paper puts forward the optimization model of train connection scheme of network transfer station,and designs the corresponding solution method based on genetic algorithm.Combined with the transfer passenger flow characteristics and operation characteristics of Suzhou rail transit,the effectiveness of the model and algorithm is proved by an example,which provides guidance for the coordination of the network train connection plan.
作者
王智永
唐方慧
Wang Zhiyong;Tang Fanghui
出处
《现代城市轨道交通》
2022年第S01期97-101,共5页
Modern Urban Transit
关键词
城市轨道交通
换乘站
衔接方案
遗传算法
urban rail transit
transfer station
connection scheme
genetic algorithm