摘要
以旅客最短出行时间和列车运能与客流量相匹配为目标,考虑停站次数、发车频率及追踪时间间隔等主要约束,建立了城市轨道交通市郊线快慢车开行方案双目标优化模型,并设计了遗传—蚁群算法来求解双目标优化模型。基于优化后的开行方案,提出了快慢车越行判别方法,并在此基础上实现快慢车通过能力的计算。以上海轨道交通16号线为例,对双目标优化模型进行验算。验算结果表明,优化方案的乘客总出行时间降低了9.2%,运能与客流量的匹配度提高了10.6%,验证了该模型及算法的有效性。
Aiming at the shortest travel time of passengers and the matching of train capacity and passenger flow volume,considering the main constraints such as number of stops,frequency of departure and time interval of departure,the bi-objective optimization model of suburban rail transit operation scheme under express-local mode is established,and the genetic-ant colony algorithm is designed to solve the bi-objective optimization model.Based on the optimized operation scheme,the method for overtaking judgement in express-local mode is proposed,and on this basis,the carrying capacity of express-local trains is calculated.Taking Shanghai Metro Line 16 as an example,the bi-objective optimization model was verified through calculation.The result shows that the total passenger travel time is reduced by 9.2%,and the matching property of transport capacity with passenger flow volume is increased by 10.5%,which verified the effectiveness of the model and the algorithm.
作者
万浩纯
丁小兵
刘志钢
黄秋瑜
王靖
WAN Haochun;DING Xiaobing;LIU Zhigang;HUANG Qiuyu;WANG Jing(School of Urban Rail Transportation,Shanghai University of Engineering Science,201620,Shanghai,China)
出处
《城市轨道交通研究》
北大核心
2020年第11期73-77,83,共6页
Urban Mass Transit
基金
十三五国家重点研发计划子课题(2017YFC0804900)。
关键词
城市轨道交通市郊线
快慢车
开行方案
通过能力
遗传—蚁群算法
suburban rail transit
express-local mode
operation scheme
carrying capacity
genetic-ant colony algorithm
