A short-term traffic flow prediction method based on spatio-temporal correlation. The method comprises the following steps: selecting a road section requiring traffic prediction and break points in the road section, acquiring short-term traffic flow historical data of all of the break points in the selected road section, determining a prediction time period of the short term traffic flow prediction, and verifying whether the historical traffic flow data of the prediction break points has periodicity; after using a normalisation method to normalise the traffic flow data, dividing the data set into a training data set and a testing data set; using a SARIMA model to perform predictive analysis on the testing data set to obtain an initial prediction result; using the prediction result as an input feature, entering same into a random forest model to obtain a final prediction result; comparing the testing data with the final prediction data and analysing errors. The present method breaks down flow data into periodic parts with evident trends and random fluctuation parts for analysis, increasing the precision of traffic flow data prediction.


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    Title :

    Short-term traffic flow prediction method based on spatio-temporal correlation


    Contributors:
    QI YONG (author) / XIONG TING (author) / ZHANG WEIBIN (author) / GAO PANJUN (author)

    Publication date :

    2020-08-13


    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 / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES



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