A Bi-Objective Timetable Optimization Model for Urban Rail Transit Based on the Time-Dependent Passenger Volume
A Bi-Objective Timetable Optimization Model for Urban Rail Transit Based on the Time-Dependent Passenger Volume
复制标题
基于客流量随时间变化的城市轨道交通双目标时刻表优化模型
DOI：
10.1109/tits.2018.2818182
复制
发表时间：
2019-02-01
影响因子：
8.5
通讯作者：
Gao, Ziyou
中科院分区：
文献类型：
--
作者：
Sun, Huijun;Wu, Jianjun;Gao, Ziyou
在城市轨道交通系统中，由于环境和社会问题的增加，节能是一个具有挑战性的问题。现有的文献对这一主题通常忽略了乘客需求的时变特性，在每个车站。基于实时智能卡自动售检票数据，以乘客候车总时间和纯能耗最小为目标，建立了一个双目标时刻表优化模型。在模型中，旅客总等待时间受过饱和状态下列车通过能力的影响，纯能量消耗由给定时段内牵引能量消耗与再生能量消耗之差表示。以北京亦庄地铁线的实测数据为例进行了数值计算。结果表明，与目前使用的时刻表相比，所开发的模型可以有效地改善乘客服务，降低能源消耗。
In urban rail transit systems, energy conservation is a challenging problem due to the rising environmental and social issues. The existing literature on this topic usually ignores time-variant characteristics of passenger demand at each station. Based on the real-world time-dependent smart-card automated fare collection data, this paper develops a bi-objective timetable optimization model to minimize the total passenger waiting time and the pure energy consumption. In the model formulation, the total passenger waiting time is subjected to the train capacity in the oversaturated condition, and the pure energy consumption is represented by the difference between the traction energy consumption and the regenerative energy within a given period. Numerical examples based on the real-world data from Beijing Yizhuang metro line are conducted. The results indicate that the developed model can improve passenger service and reduce energy consumption efficiently in comparisons with the timetable used currently.