Optimization of Multiperiod Mixed Train Schedule on High-Speed Railway

Wenliang Zhou, Junli Tian, Jin Qin, Lianbo Deng and TangJian Wei

Discrete Dynamics in Nature and Society, 2015, vol. 2015, 1-14

Abstract:

For providing passengers with periodic operation trains and making trains’ time distribution better fit that of passengers, the multiperiod mixed train schedule is first proposed in this paper. It makes each type of train having same origin, destination, route, and stop stations operate based on a periodic basis and allows different types of train to have various operation periods. Then a model of optimizing multiperiod mixed train schedule is built to minimize passengers generalized travel costs with the constraints of trains of same type operating periodically, safe interval requirements of trains’ departure, and arrival times, and so forth. And its heuristic algorithm is designed to optimize the multiperiod mixed train schedule beginning with generating an initial solution by scheduling all types of train type by type and then repeatedly improving their periodic schedules until the objective value cannot be reduced or the iteration number reaches its maximum. Finally, example results illustrate that the proposed model and algorithm can effectively gain a better multiperiod mixed train schedule. However, its passengers deferred times and advanced times are a little higher than these of an aperiodic train schedule.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:107048

DOI: 10.1155/2015/107048

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