A method for extracting road capacity based on traffic big data includes the following steps: selecting a specific traffic flow model; reading massive road lane traffic flow parameters; calibrating a model parameter of the selected traffic flow model by using the road lane traffic flow parameters read in the previous step; and fitting the calibrated model parameter to obtain a fitted traffic flow model. The present invention solves the problems that traditional methods for traffic capacity calibration have a heavy workload, inadequate samples and unreliable results due to their reliance on manual information acquisition, thereby providing support for automatic, long-term, large-scale and precise acquisition of the capacity.


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    Titel :

    METHOD FOR EXTRACTING ROAD CAPACITY BASED ON TRAFFIC BIG DATA


    Beteiligte:
    GAO XIAO (Autor:in) / XIAO YONGLAI (Autor:in) / WU CHAOTENG (Autor:in) / WANG HUAN (Autor:in) / YUAN LIANGXIAO (Autor:in)

    Erscheinungsdatum :

    17.03.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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