The invention relates to the field of traffic planning, in particular to a traffic flow prediction method based on a dynamic graph. The method comprises the steps of setting a plurality of monitoring sensors for key nodes of a traffic road, monitoring and collecting traffic flow, road occupancy and speed data of the road for a long time, constructing a traffic flow prediction model based on a dynamic graph neural network, inputting historical traffic flow data, setting related hyper-parameters in the model, and predicting the traffic flow. The method comprises the steps of preprocessing input data, designing a dynamic graph updating algorithm, applying the algorithm to a dynamic graph neural network module, extracting spatio-temporal features by adopting the dynamic graph neural network module and a ConvLSTM module, outputting a prediction result after the features are fused, and finally training a whole model for traffic flow prediction. According to the method, the fitting degree of the model prediction output and the actual flow condition is better, the prediction output stability is better, no large fluctuation occurs, and the traffic flow prediction result is more reliable and has more advantages.

    本发明涉及交通规划领域,具体为一种基于动态图的交通流量预测方法。所述方法包括对交通道路的关键节点设置多个监测传感器,监测该道路的交通流量、道路占有率、速度数据并长期进行收集,构建基于动态图神经网络的交通流量预测模型,输入历史交通流量数据,设定模型中的相关超参数,对输入数据进行预处理,设计动态图更新算法,并将该算法运用于动态图神经网络模块,采用动态图神经网络模块以及ConvLSTM模块提取时空特征,并将特征融合后输出预测结果,最终训练好整个模型用于交通流量预测。本发明的模型预测输出和实际流量状况拟合度更好,且预测输出稳定性较好,没有出现大幅度的波动,即本发明对交通流量预测结果更可靠,更有优势。


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    Title :

    Traffic flow prediction method based on dynamic graph neural network


    Additional title:

    一种基于动态图神经网络的交通流量预测方法


    Contributors:
    XU GUANGXIA (author) / HU XINTING (author) / CHEN LANG (author) / WANG LI (author) / WANG YISHUAI (author) / ZHANG JIAJUN (author)

    Publication date :

    2022-03-01


    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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