The invention discloses a traffic road condition prediction method and device, equipment and a storage medium. The method specifically comprises the steps of obtaining traffic flow information of a target road network; inputting the traffic flow information into a pre-trained time feature extraction network to obtain a traffic flow feature vector; and superposing the traffic flow feature vectors by using an RGB channel to obtain traffic state image feature information; inputting the traffic state image feature information into a traffic road condition prediction model for identification to obtain the traffic road condition of the target road network, wherein the traffic road condition prediction model is determined based on historical traffic data training. According to the embodiment of the invention, the method can achieve the more accurate recognition of the traffic condition through the analysis of the space-time characteristics of the traffic flow information.

    本申请公开了一种交通路况预测的方法、装置、设备及存储介质。具体包括:获取目标路网的交通流信息;将交通流信息输入预训练的时间特征提取网络,得到交通流特征向量;利用RGB通道,叠加交通流特征向量,得到交通状态图像特征信息;将交通状态图像特征信息输入交通路况预测模型进行识别,得到目标路网的交通路况;其中,交通路况预测模型是基于历史交通数据训练确定的。根据本申请实施例,能够通过分析交通流信息的时空特性,更加准确地识别交通路况。


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    Titel :

    Traffic road condition prediction method and device, equipment and storage medium


    Weitere Titelangaben:

    交通路况预测的方法、装置、设备及存储介质


    Beteiligte:
    LYU DONGXIN (Autor:in) / DU XIAOPING (Autor:in) / CHU WENBO (Autor:in) / WUNIRIQIQIQGE (Autor:in) / YIN YANKUN (Autor:in) / ZENG YOU (Autor:in)

    Erscheinungsdatum :

    2021-04-16


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen




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