The invention discloses a smart-phone track chain-cluster identification method considering sequential DBSCAN. The method comprises that data collection and preprocessing are carried out; the sequential angle offset of behavior track points is calculated; the sequential distance offset of the behavior track points is calculated; chains and non-chains are identified and gathered according to rules; and whether a non-chain segment belongs to a point cluster is determined by using DBSCAN, and outputs an analysis result. The logical process of the behavior track identified by the human eyes is integrated with the DBSCAN by providing the two indexes, namely the sequential angle offset and the sequential distance offset, the disadvantage that a traditional algorithm cannot identify sequential features is overcome, and the accuracy of behavior track chain-cluster identification is improved.


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    Title :

    Smart-phone track chain-cluster identification method considering sequential DBSCAN


    Contributors:
    JI YANJIE (author) / GAO LIANGPENG (author) / WANG WEI (author) / ZHOU YANG (author)

    Publication date :

    2015-12-30


    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 / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung




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