A traffic abnormal road section probability identification method comprises steps that 1, after vehicle speed and data of flow quantity are cleaned, a sample space is formed by fusing sampling data; 2, a normality test is conducted on the vehicle speed and a data source of the flow quantity; 3, vehicle speed of each microwave point and a mean value and variance of the flow quantity are calculated; 5, vehicle speed abnormal indexes and flow quantity abnormal indexes are calculated; 6, descending order is conducted on the abnormal indexes to output an warning, road abnormal indexes D of current time slots of all the microwave points of all road networks are calculated in an ergodic mode, the calculated abnormal index results are arranged from large to small, and the top K most abnormal road section warnings are output. The invention provides the traffic abnormal road section probability identification method which is good in reliability and higher in adaptivity.


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    Title :

    Traffic abnormal road section probability identification method


    Contributors:
    WANG HAO (author) / LI JIANYUAN (author) / ZHAO BEIBEI (author) / ZHANG QI (author) / LI FANG (author) / GU CHAO (author)

    Publication date :

    2015-06-24


    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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