The invention discloses a traffic prediction method and device based on a dynamic space-time diagram convolution attention model. Comprising the following steps: modeling a road traffic network into a graph structure; modeling a dynamic space-time diagram convolution attention model by using the diagram structure and the diagram signal; through an encoder unit of the dynamic space-time diagram convolution attention model, capturing dynamic space correlation among sensor nodes at different moments, capturing time correlation of step lengths at historical moments and time correlation among multi-step prediction, and obtaining a hidden state including each prediction step length; and enabling the decoder unit to receive the hidden state of each prediction step length, and obtaining a prediction result of recording speed values of all sensor nodes in the next one hour by adopting a scheduling sampling strategy. Experiments prove that the method of the invention can effectively obtain a traffic prediction result in the next one hour, and the model of the method of the invention exceeds SOTA.

    本发明公开了一种基于动态时空图卷积注意力模型的交通预测方法及装置,首先,将道路交通网络建模为图结构,利用图结构和图信号对动态时空图卷积注意力模型进行建模,通过所述动态时空图卷积注意力模型的编码器单元,捕获不同时刻传感器节点间的动态空间相关性,捕获历史时刻步长的时间相关性以及多步预测间的时间相关性,以及得到包含每个预测步长的隐藏状态;解码器单元接收每个预测步长的隐藏状态,采用调度采样策略,得到未来一小时所有传感器节点记录速度值的预测结果。实验证明,本发明方法能有效得到未来一小时的交通预测结果,本发明方法所述模型超越了SOTA。


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    Titel :

    Traffic prediction method and device based on dynamic space-time diagram convolution attention model


    Weitere Titelangaben:

    基于动态时空图卷积注意力模型的交通预测方法及装置


    Beteiligte:
    ZHANG TINGTING (Autor:in) / LI RUI (Autor:in)

    Erscheinungsdatum :

    2021-10-08


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    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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