摘要
以城市轨道交通放射线为研究对象,考虑客流时变需求和高峰期乘客滞留现象,以乘客等待时间、列车运行时间和车辆走行公里最小为目标,以发车间隔、列车满载率及其均衡性、发车比例为约束,构建了城市轨道交通大小交路列车时刻表优化模型.运用离散事件系统建模方法,建立基于乘客活动和列车运行过程的动态仿真模型,并将其与遗传算法相结合,提出了计算机仿真的遗传算法进行求解.算例结果表明,优化后的时刻表可以使运力与客流需求更加匹配,有效降低了高峰期乘客拥挤程度,并提高了各次列车满载率的均衡性.在企业运营成本相等的情况下,优化后的乘客等待时间减少了1 266.2 h,降幅达16.5%.
Aimed at a radial transit lines, through considering the time-dependent characteristics of passenger demand and the circumstance that passengers are stranded on platform, a scheduling model of full-length and short- turn routing mode is established, where the objective functions are minimum passenger waiting time, running kilometer of rolling stocks, and operation time of trains, with the constraints of departure interval, scheduling mode, maximum load factor and its’equilibrium. Furthermore, a dynamic simulation model of passengers’ activities and trains’running process is constructed using the discrete event modeling method. Then, a solution method, combined with simulation method and genetic algorithm, is developed. The results show that the disequilibrium train operation scheme can better satisfy the benefits both for the passengers and the operation enterprise, and effectively reduce the crowding of morning rush- hour crush. Comparing with the equilibrium operation scheme, the optimal scheme can reduce the waiting time of passengers by 16.3%, 1 266.2 hours, while the operation cost of transit enterprise remain unchanged.
作者
许得杰
巩亮
曾俊伟
XU De-jie;GONG Liang;ZENG Jun-wei(School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2019年第2期122-129,共8页
Journal of Transportation Systems Engineering and Information Technology
基金
国家自然科学基金(51468034
71861024)
兰州交通大学青年科学基金(2018019)~~
关键词
城市交通
城市轨道交通
时刻表
大小交路
时变需求
满载率
urban traffic
urban rail transit
timetable
full-length and short-turn routing
time-varying demand
load factor