The invention provides a parking lot external attribute identification method and system based on big data. The method comprises the steps of obtaining driving big data of a floating car related to a to-be-analyzed parking lot; obtaining an evaluation value related to the parking characteristics of the floating car according to the driving big data; and identifying external attributes of the parking lot to be analyzed according to the evaluation value. According to the scheme, manual investigation is not needed, the identification efficiency of the external attributes of the parking lot is high, dynamic changes of the external attributes of the parking lot can be handled through periodic identification, and powerful support is provided for a user to accurately select a favorite type of the parking lot in intelligent traffic.

    本发明提供了一种基于大数据的停车场对外属性识别方法及系统;其中,所述方法包括:获取与待分析停车场相关的浮动车的行驶大数据;根据所述行驶大数据得出与所述浮动车的停泊特征相关的评估值;根据所述评估值识别所述待分析停车场的对外属性。本发明的方案无需人工调查,停车场对外属性的识别效率很高,而且可以通过周期性识别来应对停车场对外属性的动态变化,为智能交通中用户准确选择心仪类型的停车场提供有力支持。


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    Titel :

    Parking lot external attribute identification method and system based on big data


    Weitere Titelangaben:

    一种基于大数据的停车场对外属性识别方法及系统


    Beteiligte:
    WANG HONG (Autor:in)

    Erscheinungsdatum :

    2023-05-02


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

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



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