A train control system (100) uses artificial intelligence for maintaining synchronization between centralized and distributed train control models. A machine learning engine receives training data from a data acquisition hub (312), a first set of output control commands from a centralized virtual system modeling engine (324), and a second set of output control commands from a distributed virtual system modeling engine (324). The machine learning engine compares the first set of output control commands and the second set of output control commands, and trains a learning system using the training data to enable the machine learning engine to safely mitigate any difference between the first and second sets of output control commands using a learning function including at least one learning parameter.


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    Title :

    Artificial intelligence watchdog for distributed system synchronization


    Contributors:
    HOWARD BRADLEY (author) / BRAND JOHN (author)

    Publication date :

    2022-09-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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