A train control system 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, 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. The machine learning engine trains a learning system using the training data to enable the machine learning engine to predict when a locomotive of the train 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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    Title :

    TRAIN CONTROL WITH CENTRALIZED AND EDGE PROCESSING HANDOVERS


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

    Publication date :

    2021-04-15


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC / H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze



    Train control with centralized and edge processing handovers

    HOWARD BRADLEY / BRAND JOHN | European Patent Office | 2022

    Free access

    TRAIN CONTROL WITH CENTRALIZED AND EDGE PROCESSING HANDOVERS

    HOWARD BRADLEY / BRAND JOHN | European Patent Office | 2021

    Free access

    Train control with centralized and edge processing handovers

    HOWARD BRADLEY / BRAND JOHN | European Patent Office | 2022

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