列车运行能耗与乘客换乘时间协同优化研究

An integrated optimization approach for train energy consumption and passenger transfer time

为减少轨道交通系统运营总能耗和乘客换乘时间,以列车的在站停留时间为决策变量,建立了一种协同优化的时刻表优化模型,并设计了求解该模型的遗传算法。应用北京地铁五号线和亦庄线的实际数据展开算例研究,验证模型和算法的有效性。结果表明,该研究较优化前的轨道交通系统总能耗减少5.15%,乘客换时间减少17.66%。

In this paper,we establish a timetable based on an integrated optimization model by taking the train dwell time as the decision variable to reduce the total energy consumption and passenger transfer time in a rail transit system.Furthermore,we design a genetic algorithm to implement the model.Finally,we conduct a numerical experiment with the actual data of Beijing metro Line 5 and Yizhuang Line to demonstrate the effectiveness of the model and the efficiency of the proposed method.Results show that the total energy consumption of the rail transit system reduce by 5.15%and passenger transfer time is reduce by 17.66%after optimization.