The invention discloses a traffic prediction method of a spatio-temporal graph convolution model based on attribute enhancement. The method comprises the following steps: constructing an adjacent matrix A based on road network data; constructing an attribute enhancement matrix Kt = [Xt, p, Bt] at the moment t based on the feature matrix X, the interest point information vector p and the weather information matrix B; inputting the attribute enhancement matrixes of the n historical moments and the adjacent matrix of the road network into a spatio-temporal diagram convolution model for learning and training, calculating a traffic flow hidden state, and obtaining a traffic prediction value. According to the method of the invention, on the basis of spatial features when a spatio-temporal diagram convolution model is used for modeling, multi-source fragmented city data are fused to capture the relationship between external factors influencing traffic and traffic flow, the perception of the spatio-temporal diagram convolution model on the external influence factors is enhanced, and therefore, more efficient and accurate traffic prediction can be realized.

    本发明公开了一种基于属性增强的时空图卷积模型的交通预测方法,包括以下步骤:基于路网数据构建邻接矩阵A;基于特征矩阵X、兴趣点信息向量p和天气信息矩阵B构建t时刻的属性增强矩阵Kt=[Xt,p,Bt];将历史n个时刻的属性增强矩阵,以及道路网络的邻接矩阵输入时空图卷积模型学习训练,计算交通流隐藏状态,获得交通预测值。本发明方法在使用时空图卷积模型建模时空间特征的基础上,融合多源碎片化的城市数据来捕捉影响交通的外部因素与交通流的关系,增强时空图卷积模型对外部影响因素的感知,进而实现更加高效精准的交通预测。


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    Title :

    Traffic prediction method of spatio-temporal diagram convolution model based on attribute enhancement


    Additional title:

    一种基于属性增强的时空图卷积模型的交通预测方法


    Contributors:
    ZHU JIAWEI (author) / LI HAIFENG (author) / ZHAO LING (author) / HUANG HAOZHE (author) / PENG JIAN (author) / CHEN LI (author) / CUI ZHENQI (author)

    Publication date :

    2021-01-12


    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 / 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



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