The invention discloses a real-time road condition acquisition and prediction method based on a site map. The method includes the steps: utilizing a development interface provided by a site map and sending a POST request through a hypertext transmission protocol to obtain a real-time road condition; establishing a road condition prediction characteristic template through prior knowledge, and building a prediction model by means of a classification technology in a machine learning method; and combining the real-time road condition with historical data, and predicating a road condition in a period of time in future by means of the prediction model. According to the real-time road condition acquisition and prediction method, a mass of open traffic data provided by a site map is utilized to build a prediction model through a machine learning method, a road condition in a period of time in future can be predicated, and traffic information can be provided mainly for travelers to make decisions by themselves.


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    Title :

    Real-time road condition acquisition and prediction method based on site map


    Contributors:
    CHEN YUANYUAN (author) / LYU YISHENG (author) / WANG FEIYUE (author) / YANG LIUQING (author)

    Publication date :

    2016-01-13


    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 / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES



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