A method includes, at a first level manager, receiving vehicle data from a plurality of vehicles, aggregating the vehicle data, determining a first variable associated with the plurality of vehicles based on the aggregated vehicle data, and transmitting the aggregated vehicle data to a second level manager. The second level manager is in a higher hierarchical level than the first level manager. The method further includes, at a second level manager, determining a second variable based on the received aggregated vehicle data, determining whether the first and second variable conform to a predetermined dependency among the variables, and identifying an anomaly based on the determination.


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    Titel :

    Multivariate Hierarchical Anomaly Detection


    Beteiligte:
    UCAR SEYHAN (Autor:in) / MERCER RYAN (Autor:in)

    Erscheinungsdatum :

    2022-11-24


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte




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