A traffic information quantization method in an intelligent network environment includes: step S1: extracting traffic information sources according to collected videos and classifying the traffic information sources; step S2: obtaining a state set and a probability distribution of each traffic information source through actual observation and calculation; step S3: using information theory to quantify the traffic information sources. Further, a traffic information quantization system in the intelligent network environment is provided, and the traffic information quantization method in the intelligent network environment and its system are adopted to quantify the driving information of the driving process and calculate the amount of information. The method and system can transform uncertain information into certain information, improve driving efficiency, help drivers optimize the driving process, and ensure driving safety.


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    Title :

    TRAFFIC INFORMATION QUANTIZATION METHOD IN THE INTELLIGENT NETWORK ENVIRONMENT AND ITS SYSTEM


    Contributors:
    FENG ZHONGXIANG (author) / DAI LI (author) / ZHENG YUBING (author) / HUANG CONGJUN (author) / FANG SHISHENG (author) / JIANG XU (author) / LIU ZONGZU (author) / SHEN YINBIN (author) / ZHANG WEIHUA (author) / LI JINGYU (author)

    Publication date :

    2024-02-22


    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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