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• W2913443311 abstract "As a sustainable transportation mode, high-speed railway (HSR) has been developing rapidly during the past decade in China. With the formation of dense HSR network, how to improve the utilization efficiency of train-sets (the carrying tools of HSR) has been a new research hotspot. Moreover, the emergence of railway transportation hubs has brought great challenges to the traditional train-sets’ utilization mode. Thus, in this paper, we address the issue of train-sets’ utilization problem with the consideration of railway transportation hubs, which consists of finding an optimal Train-set Circulation Plan (TCP) to complete trip tasks in a given Train Diagram (TD). An integer programming TCP model is established to optimize the train-set utilization scheme, aiming to obtain the one-to-one correspondence relationship among sets of train-sets, trip tasks, and maintenances. A genetic algorithm (GA) is designed to solve the model. A case study based on Nanjing and Shanghai HSR transportation hubs is made to demonstrate the practical significance of the proposed method. The results show that a more efficient TCP can be formulated by introducing train-sets being dispatched among different stations in the same hub." @default.
• W2913443311 created "2019-02-21" @default.
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• W2913443311 date "2019-02-14" @default.
• W2913443311 modified "2023-10-06" @default.
• W2913443311 title "Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm" @default.
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• W2913443311 doi "https://doi.org/10.1155/2019/8526953" @default.
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