摘要
区域内不同层次轨道交通末班车协同优化是促进区域轨道交通一体化的关键。基于区域内OD(起讫点)客流可达性,构建多层拓扑网络,通过线网复杂度、收车延时值差异等指标确定OD间换乘信息复杂度;通过MML(多项罗吉特)模型计算末班车时段乘客选择OD间不同路径概率,基于区域OD可达性与列车收车总延时值构建多目标优化模型;设计嵌套Dijkstra的NSGA-II算法求解模型。合肥多层次轨道交通网络的实例验证结果表明,该算法求得的最优解集中,各方案均在一定程度上优于现行方案,其中最大可达客流量增加比例为24.29%,不可达比例优于现行方案的收车延时最小值为-10.272 min。
The synergetic optimization of regional multi-level rail transit last trains is key to integration of regional rail transit. Based on OD passenger flow accessibility in the region, multi-level topological network is constructed, and the complexity of OD transfer information is determined by the complexity of line network and the difference of pickup delay value. Through MML model, the probability of passengers choosing different paths between OD during last bus period is calculated. Based on regional OD accessibility and train pickup total delay, a multi-objective optimization model is constructed. The NSGA-II algorithm with nested Dijkstra is designed to solve the model. Hefei multi-level rail transit network actual case shows that, in the optimal solution set obtained by the algorithm, all schemes are better than the current scheme to a certain extent, in which maximum reachable passenger flow increase rate is 24.29%, and the minimum delay of the unreachable proportion that is better than current scheme has minimum pickup delay of-10.272 min.
作者
胡勇健
郑俊锋
李莉
HU Yongjian;ZHENG Junfeng;LI Li(Hefei Rail Transit Group Co.,Ltd.,230601,Hefei,China)
出处
《城市轨道交通研究》
北大核心
2022年第9期146-151,共6页
Urban Mass Transit
关键词
轨道交通
多层次
末班车
时刻表
协同优化
rail transit
multi-layer
last bus
timetable
synergetic optimization
