Research on dynamic scheduling method of railway transportation based on pre-classification

Yanzhi Pang; Jianqiu Chen; Xuguang WEN; Tanyi Zhao

doi:10.1117/12.2639272

17 May 2022 Research on dynamic scheduling method of railway transportation based on pre-classification

Yanzhi Pang, Jianqiu Chen, Xuguang WEN, Tanyi Zhao

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122594C (2022) https://doi.org/10.1117/12.2639272
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

When the current method is used to schedule railway transportation, the scheduling takes a long time, and the difference between the obtained scheduling result and the expected one is large, and there is a problem of low scheduling efficiency and poor validity. A dynamic scheduling method based on pre-classification is proposed, which pre-classifies railway transportation resources, improves the utilization rate of railway transportation resources, and shortens the time required for scheduling. The execution time is taken as the optimization target, and the railway transportation dynamic scheduling model is constructed based on the pre-classification results. The genetic algorithm is used to solve the dynamic scheduling model of railway transportation, and the dynamic scheduling of railway transportation is realized. The experimental results show that the proposed method takes less time for railway transportation scheduling, and requires less time to perform tasks after scheduling. The proposed method has high scheduling efficiency and good effectiveness.

Citation Download Citation

Yanzhi Pang, Jianqiu Chen, Xuguang WEN, and Tanyi Zhao "Research on dynamic scheduling method of railway transportation based on pre-classification", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122594C (17 May 2022); https://doi.org/10.1117/12.2639272

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