The invention discloses an intelligent rail transit signal system and an automatic scheduling method, and relates to the technical field of rail transit, and the method comprises the steps of data acquisition, machine learning modeling, scheduling optimization algorithm based on machine learning, scheduling strategy generation, real-time signal control, automatic scheduling decision, and system monitoring and optimization. By adding the physical constraint to guide the generation process, the problem that the rail transit data generation sample does not conform to the actual physical law is solved; the problems of insufficient data generation diversity, generation mode collapse and the like are solved through methods of dynamic memory mechanism optimization generator training and the like. The problems of high-dimensional redundancy, nonlinear structural features, poor model generalization ability and the like of rail transit data are solved by using a negentropy excitation function.

    本发明公开了一种智能化轨道交通信号系统及自动调度方法,涉及轨道交通技术领域,所述方法包括数据采集、机器学习建模,基于机器学习的调度优化算法,生成调度策略、实时信号控制、自动调度决策、系统监控与优化。本发明通过加入物理约束引导生成过程,解决轨道交通数据生成样本不符合实际物理规律的问题;通过动态记忆机制优化生成器训练等方法,解决数据生成多样性不足,生成模式坍塌等问题。利用负熵激励函数解决轨道交通数据高维冗余、非线性结构特征、模型泛化能力差等问题。


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    Title :

    Intelligent rail transit signal system and automatic scheduling method thereof


    Additional title:

    一种智能化轨道交通信号系统及其自动调度方法


    Contributors:
    ZHANG JIANHUA (author) / ZHU CHENKAI (author)

    Publication date :

    2025-03-21


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

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



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