The invention discloses a traffic flow prediction method and device based on a hybrid neural network, and a medium, the method is applied to a traffic flow prediction system based on the hybrid neural network comprising a traffic flow prediction model based on the hybrid neural network, and the method comprises the steps: obtaining the traffic flow data of a to-be-predicted road, carrying out correction processing on the traffic flow data; the corrected traffic flow data is processed through a traffic flow prediction model based on the hybrid neural network, a traffic flow prediction result of the road to be predicted is obtained, and the traffic flow prediction model based on the hybrid neural network comprises a convolutional neural network, a bidirectional long-short-term memory neural network and an attention mechanism. And the corrected traffic flow data are sequentially processed by a convolutional neural network, a bidirectional long-short-term memory neural network and an attention mechanism. Through the method, the traffic flow prediction result generated by the traffic flow prediction model based on the hybrid neural network is closer to the real traffic flow, and the prediction precision is high.

    本发明公开了一种基于混合神经网络的交通流预测方法、设备和介质,该方法应用于一包括基于混合神经网络的交通流预测模型的基于混合神经网络的交通流预测系统,该方法包括:获取待预测道路的交通流数据,对交通流数据进行修正处理;通过基于混合神经网络的交通流预测模型对修正后的交通流数据进行处理,获得待预测道路的交通流预测结果,其中,基于混合神经网络的交通流预测模型包括卷积神经网络、双向长短期记忆神经网络和注意力机制,修正后的交通流数据依次经过卷积神经网络、双向长短期记忆神经网络和注意力机制处理。通过该方法,基于混合神经网络的交通流预测模型生成的交通流预测结果更接近真实的交通流,预测精度高。


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    Title :

    Traffic flow prediction method and device based on hybrid neural network, and medium


    Additional title:

    基于混合神经网络的交通流预测方法、设备和介质


    Contributors:
    SHEN YANG (author) / YU BIN (author) / DENG FANGMING (author) / LUO YANG (author) / PENG RENKUI (author) / ZHANG WEI (author) / ZHENG ZHIBIN (author) / ZHANG FAN (author) / CHENG RONG (author) / RAO XIANMING (author)

    Publication date :

    2023-05-09


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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