Among the most commonly used methods of scheduling train stops are practical experience and various "one-step" optimal models. These methods face problems of direct transferability and computational complexity when considering a large-scale high-speed rail HSR network such as the one in China. This paper introduces a two-stage approach for train stop scheduling with a goal of efficiently organizing passenger traffic into a rational train stop pattern combination while retaining features of regularity, connectivity, and rapidity RCR . Based on a three-level station classification definition, a mixed integer programming model and a train operating tactics descriptive model along with the computing algorithm are developed and presented for the two stages. A real-world numerical example is presented using the Chinese HSR network as the setting. The performance of the train stop schedule and the applicability of the proposed approach are evaluated from the perspective of maintaining RCR.
Fu et al. REF presented a two-stage approach for solving TSPP in a large-scale HSR network.
Train Stop Scheduling in a High-Speed Rail Network by Utilizing a Two-Stage Approach
Mathematical Problems in Engineering
Mathematics