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Optimization on Metro Timetable Considering Train Capacity and Passenger Demand from Intercity Railways

机译:考虑城际铁路运力和旅客需求的地铁时刻表优化

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Timetable optimization of metro lines connecting with intercity railway stations can reduce passenger waiting time and improve service quality. Based on arrival times of intercity trains and the entire process for passengers transferring from railway to metro, this paper develops a mathematical model to characterize the time-varying demand of passengers arriving at the platform of a metro station connecting with an intercity railway station. Provided the time-varying passenger demand and capacity of metro trains, a timetable model to optimize train departure time of a bi-direction metro line where an intermediate station connects with an intercity railway station is proposed. The objective is to minimize waiting time of passengers at the connecting station. A genetic algorithm is applied to solve the proposed timetable model. Real-world case studies show that the prediction accuracy of the proposed model on passenger demand at the connecting station is higher than 90%, and the timetable model can reduce waiting time of passengers at the connecting station by 23.57% with negligible influence on passengers at other stations.
机译:连接城际火车站的地铁线路的时间表优化可以减少乘客的等待时间并提高服务质量。基于城际列车的到达时间和旅客从铁路到地铁的转移的全过程,本文建立了一个数学模型来表征到达与城际铁路站相连的地铁站台的旅客的时变需求。给出了随时间变化的旅客需求和地铁列车的容量,提出了一个时间表模型,以优化中间站与城际火车站相连的双向地铁线路的列车发车时间。目的是最大程度地减少转机站乘客的等待时间。应用遗传算法求解提出的时间表模型。实际案例研究表明,所提出的模型对转机站的乘客需求的预测准确性高于90%,并且该时间表模型可以将转机站的乘客等待时间减少23.57%,而对转机站的乘客的影响可以忽略不计。其他站。

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