The invention provides a multi-factor high-speed traffic flow intelligent prediction method, and belongs to the field of machine learning. According to the method, on the basis of the historical flow of the gantries, various factors, including weather, holidays and festivals, the distance between surrounding gantries and the flow, influencing the high-speed traffic flow are comprehensively considered. And a flow change rule is extracted by fitting historical record data of the factors, and the future flow of each portal is predicted by combining real-time sequential change data of each factor. According to the method, machine learning is applied to the high-speed traffic flow prediction problem, the practical application value is high, the disadvantages that high-speed traffic flow prediction is complex and poor in real-time performance and accuracy are changed, a flexible and low-cost solution is provided for traffic congestion and scheduling, and high economic benefits and social benefits are achieved.

    本发明提出了一种多因素的高速交通流量智能预测方法,属于机器学习领域。该方法以门架历史流量为基础,综合考虑影响高速交通流量的多种因素,包括天气、节假日、周围门架距离和流量。通过拟合以上因素历史记录数据提取流量变化规律,结合各因素的实时时序变化数据预测每个门架的未来流量。本发明将机器学习应用在高速交通流量预测问题中,非常具有实际应用价值,它改变了高速流量预测复杂、实时性、准确性差的劣势,为交通拥堵和调度提供了灵活、低成本的解决方案,具有很高的经济效益和社会效益。


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    Title :

    Multi-factor high-speed traffic flow intelligent prediction method


    Additional title:

    一种多因素的高速交通流量智能预测方法


    Contributors:
    ZHAN ENNING (author) / ZHU RUIXIN (author) / LI CHAOFAN (author) / HOU XIAOXU (author) / ZHANG HANG (author) / MA TIANMING (author)

    Publication date :

    2023-09-19


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

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



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