摘要
针对城市轨道交通高峰时段客流需求过饱和与分布不均衡情形下,车站乘客滞留集中效应明显和乘客候车时间过长等问题,提出一种考虑开行部分跨站停列车的多站客流协同控制优化方法。建立以车站与列车安全容量、列车跨站数量、列车追踪间隔等为约束,以车站乘客滞留率方差最小与线路乘客候车时间最小为优化目标的控制决策模型,设计自适应差分进化算法,求解列车跨站停车方案与车站进站客流限制比例。研究结果表明:在时变的城市轨道交通高峰客流需求下,采取本文的协同控制决策方法,能够有效降低案例线路车站乘客滞留率方差60.23%和乘客候车等待时间24.78%。
The over-saturation and unbalanced distribution of passenger demand in the peak hours of urban rail transit lead to the obvious concentrated effect of station passenger retention and the over-long waiting time of passengers.To solve this problem,a collaborative control optimization method for multi-station passenger flow considering partial skip-stop strategy was proposed.A control decision-making model was established with the constraints of the station and train safety capacity,the number of stations skipped,and the train tracking interval.The optimization objectives were the minimum variance of the station passenger retention rate and the minimum passenger waiting time on the line.An adaptive differential evolutionary algorithm was designed to solve the ratio between the cross-station stopping scheme and the passenger flow limitation.The collaborative control decision method was tested by an urban rail transit line with time-varying peak passenger flow demand an.The results show that the variance of passenger retention rate in the station of the case line was reduced by 60.23%,and the waiting time of passengers was reduced by 24.78%.
作者
蒋琦玮
苏建凯
陈维亚
JIANG Qiwei;SU Jiankai;CHEN Weiya(School of Traffic and Transportation Engineering,Rail Data Research and Application Key Laboratory of Hunan Province,Central South University,Changsha 410075,China;School of Civil Engineering,Central South University,Changsha 410075,China)
出处
《铁道科学与工程学报》
CAS
CSCD
北大核心
2021年第11期2857-2864,共8页
Journal of Railway Science and Engineering
基金
湖南省自然科学基金资助项目(2018JJ2537)。
关键词
城市轨道交通
跨站停车
车站客流控制
协同控制
差分进化算法
urban rail transit
skip-stop strategy
station passenger flow control
collaborative control
differential evolutionary algorithm
