The invention relates to an optimized traffic flow prediction model based on a space-time diagram convolutional network. Traffic flow prediction is defined as follows: for a specific road network structure, traffic flow data of several time steps in the future are predicted according to traffic flow data of several time steps recorded historically, wherein the model establishment comprises spatial correlation modeling; the structure of the graph is represented through a self-adaptive adjacency matrix obtained through model training; time correlation modeling is carried out, the calculation process of the gate and the hidden state of the GRU is full-connection operation, and GCN is used for replacing the gate and the hidden state of the GRU; a TPA mechanism is introduced; loss function is adopted, and the purpose of designing and training the model is to minimize an error between a model prediction value and a real value of a road node. According to the method, the accurate prediction precision of the short-time traffic flow is improved, the capability of the model for analyzing the data of the graph structure is enhanced, and the time-space dependence of the traffic flow can be fully mined, so that the prediction precision of the short-time traffic flow and the convergence speed of the model are improved.

    本发明涉及一种优化的基于时空图卷积网络的交通流预测模型,交通流预测定义为对特定的路网结构,根据历史记录的几个时间步长的交通流数据来预测未来几个时间步长的交通流数据,模型建立包括:空间相关性建模;通过模型训练得到的自适应邻接矩阵来表示图的结构;时间相关性建模,GRU的门和隐藏状态的计算过程是全连接操作,使用GCN对其进行替换;TPA机制的引入;Loss function,设计和训练模型的目的是最小化道路节点的模型预测值和真实值之间的误差。本发明提高短时交通流准确预测精度,增强了模型分析图结构的数据的能力,可以保证充分挖掘交通流的时空依赖性,从而提高短时交通流的预测精度和模型的收敛速度。


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    Title :

    Optimized traffic flow prediction model based on space-time diagram convolutional network


    Additional title:

    一种优化的基于时空图卷积网络的交通流预测模型


    Contributors:
    ZHANG HONG (author) / ZHAO YUANMENG (author) / CHEN LINLONG (author) / CAO JIE (author) / KAN SUNAN (author) / ZHAO TIANXIN (author)

    Publication date :

    2021-10-15


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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 / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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