The invention discloses a short-term traffic flow forecasting method based on three-layer K nearest neighbors. The short-term traffic flow forecasting method comprises the steps of: (1) counting traffic flow based on fixed time intervals and establishing a historical sample database; (2) evaluating shape similarity between a current point and points in the historical sample database by adopting similarity deviation degree and correlation coefficient respectively, and performing first-layer screening of points; (3) evaluating the points screened in the first layer according to hit rate and shape similar distance, and performing second-layer screening of points; (4) and evaluating matching distances between the current point and the points screened in the second layer by using an Euclidean distance method, and outputs a forecasting result by adopting a weighted mean value of inverse similar distance of a combination shape of the traffic flow at the corresponding next moment when nearest neighbor points are translated to the current point. The short-term traffic flow forecasting method adopts a two-layer shape similarity matching function, takes the shape matching distances between the nearest neighbor points and the current point into account, and improves accuracy and timeliness of short-term traffic flow forecasting.


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    Titel :

    Short-term traffic flow forecasting method based on three-layer K nearest neighbor


    Beteiligte:
    ZHU YONG (Autor:in) / HUANG GUOLIN (Autor:in) / YIN LIFENG (Autor:in) / PANG XIYU (Autor:in) / WANG QINGMING (Autor:in) / ZHANG DELIANG (Autor:in) / CUI LONGBO (Autor:in) / HE ZHENZHEN (Autor:in) / LI XUELING (Autor:in) / WU MAOCHENG (Autor:in)

    Erscheinungsdatum :

    17.02.2016


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06K Erkennen von Daten , RECOGNITION OF DATA