The invention provides a traffic state prediction method and device based on deep learning, terminal equipment and a readable storage medium, and the method comprises the steps: obtaining the trafficflow historical data of a target region, and converting the traffic flow historical data into training set data according to a preset format; constructing a deep belief network model, and training thedeep belief network model based on the training set data; connecting the top layer output of the trained deep belief network model with a preset SVR model to obtain a deep learning hybrid model; based on the traffic flow data of the target area collected in real time, utilizing the deep learning hybrid model to perform traffic state prediction on the target area. According to the method, the traffic state information data can be effectively processed through a deep learning technology, so the traffic state of the target area can be quickly and accurately predicted, and a reference basis can be provided for traffic control and management.

    本发明提供了一种基于深度学习的交通状态预测方法、装置、终端设备及可读存储介质,所述方法包括:获取目标区域的交通流量历史数据,并按预设的格式将所述交通流量历史数据转化为训练集数据;构建深度信念网络模型,并基于所述训练集数据对所述深度信念网络模型进行训练;将训练后的深度信念网络模型的顶层输出与预设的SVR模型相连,得到深度学习混合模型;基于实时采集的所述目标区域的交通流量数据,利用所述深度学习混合模型对所述目标区域进行交通状态预测。本发明能够通过深度学习技术对交通状态信息数据进行有效处理,从而快速、准确地对目标区域的交通状态进行预测,进而能够为交通控制与管理提供参考依据。


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    Title :

    Traffic state prediction method and device based on deep learning


    Additional title:

    一种基于深度学习的交通状态预测方法及装置


    Contributors:
    ZHANG DONGBO (author) / LING XIANG (author) / ZHANG YU (author) / LIU ZHI (author) / YANG RUI (author) / LIN LIBIN (author) / QIN HAO (author) / WEI QIANZHOU (author) / WANG JIAXIANG (author) / WANG XIAOXU (author)

    Publication date :

    2020-08-18


    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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