A train control system (100) uses machine learning for implementing handovers between centralized and distributed train control models. A machine learning engine receives training data from a data acquisition hub (312), receives a centralized train control model from a centralized virtual system modeling engine, and receives an edge-based train control model from an edge-based virtual system modeling engine (324). The machine learning engine trains a learning system using the training data to enable the machine learning engine to predict when a locomotive (108, 110) of the train (102) will enter a geo-fence where communication between the edge-based computer processing system and the centralized computer processing system will be inhibited.


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    Titel :

    Train control with centralized and edge processing handovers


    Beteiligte:
    HOWARD BRADLEY (Autor:in) / BRAND JOHN (Autor:in)

    Erscheinungsdatum :

    15.09.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    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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