摘要
针对城市轨道交通线路高峰时段客流组织压力大、乘客出行时效要求高等特征,提出一种快慢车组织与多车站限流相协调的协同优化方法。该方法考虑快车跨站与越行方式、列车承载能力和车站乘客安全容量等主要约束条件,建立以乘客总出行时间最少和各站各状态内上车人数占总候车人数比例方差之和最小为目标的优化模型,设计嵌套混合遗传算法求解。以某市域轨道交通线路为算例并对不同目标的权重系数分配进行敏感性分析。研究结果表明:对比站站停及不考虑车站协调限流的方案,该方法分别在乘客出行效率及乘客出行公平性方面有所优化,能有效缓解大客流车站的客流组织压力。
In order to solve the issues of high organization pressure on passenger flow and high requirements on timeliness of passenger travel in peak hours of urban rail transit lines, a coordinated optimization method for combining express/local trains operation and passenger flow control at stations was proposed. By considering the main constraints of skip-stop and overtaking conditions of express/local trains operation, the train carrying capacity and the station capacity concerned with safety, an optimization model was established aiming at minimizing the total passenger travel time and the sum of the variances of the boarding passengers compared with the arrivals at each station. The nested hybrid genetic algorithm was designed to solve the model. A regional rail transit line was made as a numerical case and the sensitivity analysis was carried out for the different weights of the objectives. The results show that compared with the scheme of local train operation and the scheme without a coordinated optimization of passenger flow control at stations, the method can improve passenger travel efficiency and fairness and effectively relieve the pressure of passenger flow organization in major stations.
作者
陈维亚
王婕妤
章雍
康梓轩
CHEN Weiya;WANG Jieyu;ZHANG Yong;KANG Zixuan(School of Traffic and Transportation Engineering,Central South University,Changsha 410075,China)
出处
《铁道科学与工程学报》
CAS
CSCD
北大核心
2019年第12期3143-3151,共9页
Journal of Railway Science and Engineering
基金
湖南省自然科学基金资助项目(2018JJ2537)
国家自然科学基金资助项目(61203162)
关键词
城市轨道交通
快慢车
多车站限流
协同优化
嵌套混合遗传算法
urban rail transit
express/local train operation
passenger flow control at stations
coordination optimization
nested hybrid genetic algorithm
