The disclosure includes a method for traffic flow prediction based on data mining on spatio-temporal correlations. The method includes establishing a prediction model, data mining on spatio-temporal correlations, and traffic flow prediction based on spatio-temporal correlated data. The prediction model can be a linear regression model with multiple variables. The data mining on spatio-temporal correlations is based on a multi-factor linear regression model and by means of the optimization method in terms of sparse representation. The data from the spatio-temporal correlated sensors that are relevant to the prediction task are determined automatically. The traffic flow prediction based on spatio-temporal correlated data refers to that the prediction is performed with the input to the prediction model to be the data from the spatio-temporal correlated sensors.


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    Title :

    METHOD FOR TRAFFIC FLOW PREDICTION BASED ON SPATIO-TEMPORAL CORRELATION MINING


    Contributors:
    SHI SHIXIONG (author) / YANG SU (author)

    Publication date :

    2016-10-27


    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 / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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