This paper presents an effective approach to address the challenge of rapidly restoring train operation order and automatically generating scheduling optimization schemes during abnormal events. The study focuses on high-speed railway, and establishes a high-speed railway train operation adjustment model, with the primary objective of minimizing the weighted total arrival delay time while satisfying various time and capacity constraints. To overcome the NP-hard nature of the problem, we propose a genetic algorithm approach with an appropriate coding mode, fitness function, crossover, and mutation rules. To validate the proposed model and algorithm, we use the operational data from the Beijing-Shanghai high-speed railway. The results of comparing the advantages and disadvantages of the genetic algorithm with the interval-only accelerated operation method demonstrate the feasibility and effectiveness of genetic algorithm, which can provide decision support for dispatching high-speed railway train operation scheduling.


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    Title :

    Research on High-Speed Railway Timetable Rescheduling Based on Genetic Algorithm


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Qin, Yong (editor) / Jia, Limin (editor) / Yang, Jianwei (editor) / Diao, Lijun (editor) / Yao, Dechen (editor) / An, Min (editor) / Du, Xinyi (author) / Wang, Li (author) / Wang, Xianghao (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2023 ; Beijing, China October 19, 2023 - October 21, 2023



    Publication date :

    2024-02-03


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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