The invention discloses a train high-density tracking interval optimization method based on ESN-GWO, and the method combines the acting force during the operation of a train to construct an accurate high-speed railway train dynamic model, accurately describes the stress and motion change process of the high-speed train in various scenes, and provides a model basis for the high-density tracking optimization of the high-speed train. A train tracking model is built in combination with a high-speed railway train dynamic model, and reliable and stable description of a high-speed train tracking scene is achieved; and finally, constructing a multi-objective optimization function suitable for the high-speed railway on the basis, and performing optimization solution in combination with an ESN-GWO algorithm to realize train high-density tracking interval optimization.

    本发明公开了一种基于ESN‑GWO的列车高密度追踪间隔优化方法,结合列车运行时的作用力构建准确的高速铁路列车动力学模型,准确描述高速列车在各种场景下的受力及运动变化过程,为高速列车高密度追踪优化提供模型基础;结合高速铁路列车动力学模型构建列车追踪模型,实现对高速列车追踪场景的可靠稳定描述;最终,在上述基础上构建适用于高速铁路的多目标优化函数,并结合ESN‑GWO算法进行优化求解,实现列车高密度追踪间隔优化。


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    Title :

    ESN-GWO-based train high-density tracking interval optimization method


    Additional title:

    基于ESN-GWO的列车高密度追踪间隔优化方法


    Contributors:
    YUE LIN (author) / WANG MENG (author) / WANG PENG (author) / MU JINCHAO (author) / YANG SEN (author) / WANG FEIWU (author) / ZHAO XIAOYU (author) / LIU YUJUN (author) / XIE JUNHONG (author) / YANG BIN (author) ... [more]

    Publication date :

    2025-04-15


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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