The invention provides a training method of a traffic situation prediction model, a traffic situation prediction method and equipment, and the training method comprises the steps: obtaining historical traffic state data of a target region in a historical time period according to a portal connection matrix and portal connection basic data, training a hybrid prediction model by using the traffic state average value and the traffic state differential learning value in each unit time period, which are provided with traffic situation tags, so as to determine the traffic state average value and the traffic state differential learning value in each unit time period; and training the hybrid prediction model into a traffic situation prediction model used for predicting the traffic situation of the target area in a unit time period in the future. According to the method and the device, the reliability and the effectiveness of the data used for training the traffic situation prediction model can be effectively improved, the accuracy and the reliability of a result of predicting the traffic situation by adopting the trained traffic situation prediction model can be effectively improved, and the automation degree and the intelligence degree of traffic situation prediction can be improved.

    本申请提供交通态势预测模型的训练方法、交通态势预测方法及设备,训练方法包括:根据门架连通矩阵和门架连通基础数据获取目标区域在历史时间周期内的历史交通状态数据,以确定各个单位时间段内的交通状态平均值和交通状态差分学习值,采用设有交通态势标签的各个单位时间段内的交通状态平均值和交通状态差分学习值训练混合预测模型,以将混合预测模型训练为用于对目标区域在未来的单位时间段内的交通态势进行预测的交通态势预测模型。本申请能够有效提高训练交通态势预测模型所用数据的可靠性及有效性,进而能够有效提高采用训练的交通态势预测模型预测交通态势的结果准确性及可靠性,并能够提高交通态势预测的自动化程度及智能化程度。


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    Title :

    Training method of traffic situation prediction model, traffic situation prediction method and equipment


    Additional title:

    交通态势预测模型的训练方法、交通态势预测方法及设备


    Contributors:
    ZHANG LEI (author) / ZHANG WENHU (author) / XU XUEJIE (author) / WANG DONGSHENG (author) / QIN JIANLIANG (author) / SUN LEILEI (author) / HUANG JIAN (author) / ZHANG CHAOXIANG (author) / JIAO ZILING (author)

    Publication date :

    2024-12-17


    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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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