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.


    Access

    Download


    Export, share and cite



    Title :

    Multivariate Hierarchical Anomaly Detection


    Contributors:
    UCAR SEYHAN (author) / MERCER RYAN (author)

    Publication date :

    2022-11-24


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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




    MIM-GAN-based Anomaly Detection for Multivariate Time Series Data

    Lu, Shan / Dong, Zhicheng / Cai, Donghong et al. | IEEE | 2023


    Multiple Hierarchical Dirichlet Processes for anomaly detection in traffic

    Kaltsa, Vagia / Briassouli, Alexia / Kompatsiaris, Ioannis et al. | British Library Online Contents | 2018


    On-orbit autonomous anomaly detection method for hierarchical spacecraft control system

    YUAN LI / WANG SHUYI / LIU XIAOXIANG et al. | European Patent Office | 2020

    Free access

    Anomaly Detection in Time Series data using Hierarchical Temporal Memory Model

    Anandharaj, A / Sivakumar, P. Bagavathi | IEEE | 2019