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。
ESN-GWO-based train high-density tracking interval optimization method
基于ESN-GWO的列车高密度追踪间隔优化方法
2025-04-15
Patent
Electronic Resource
Chinese
Method and system for determining group train interval tracking interval time
European Patent Office | 2024
|Group train tracking interval time determination method and system
European Patent Office | 2024
|