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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    Title :

    METHOD FOR EXTRACTING ROAD CAPACITY BASED ON TRAFFIC BIG DATA


    Contributors:
    GAO XIAO (author) / XIAO YONGLAI (author) / WU CHAOTENG (author) / WANG HUAN (author) / YUAN LIANGXIAO (author)

    Publication date :

    2022-03-17


    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



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