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- Title
An Efficient Hybrid Approach for Scheduling the Train Timetable for the Longer Distance High-Speed Railway.
- Authors
Wang, Zeyu; Zhou, Leishan; Guo, Bin; Chen, Xing; Zhou, Hanxiao; Cavallaro, Fausto; D'Acierno, Luca; Botte, Marilisa
- Abstract
Compared with other modes of transportation, a high-speed railway has energy saving advantages; it is environmentally friendly, safe, and convenient for large capacity transportation between cities. With the expansion of the high-speed railway network, the operation of high-speed railways needs to be improved urgently. In this paper, a hybrid approach for quickly solving the timetable of high-speed railways, inspired by the periodic model and the aperiodic model, is proposed. A space–time decomposition method is proposed to convert the complex passenger travel demands into service plans and decompose the original problem into several sub-problems, to reduce the solving complexity. An integer programming model is proposed for the sub-problems, and then solved in parallel with CPLEX. After that, a local search algorithm is designed to combine the timetables of different periods, considering the safety operation constraints. The hybrid approach is tested on a real-world case study, based on the Beijing–Shanghai high-speed railway (HSR), and the results show that the train timetable calculated by the approach is superior to the real-world timetable in many indexes. The hybrid approach combines the advantages of the periodic model and the aperiodic model; it can deal with the travel demands of passengers well and the solving speed is fast. It provides the possibility for flexible adjustment of a timetable and timely response to the change of passenger travel demands, to avoid the waste of transportation resources and achieve sustainable development.
- Subjects
SHANGHAI (China); BEIJING (China); TRAIN schedules; TIME perspective; RAILROADS; URBAN transportation; DECOMPOSITION method; INTEGER programming
- Publication
Sustainability (2071-1050), 2021, Vol 13, Issue 5, p2538
- ISSN
2071-1050
- Publication type
Article
- DOI
10.3390/su13052538