The invention discloses a traffic flow prediction method based on a space-time diagram convolutional network. The method comprises the following steps: S1) collecting traffic flow data of a target area by using a road sensor and preprocessing the traffic flow data; s2) extra information is collected and coded, wherein the extra information comprises climate data, whether the current day is a workday or not and the type and number of public places around the node; s3) generating time sequence data according to the preprocessed traffic flow data obtained in the step S1); s4) two adaptive vectors ES and ET are constructed as spatial embedding representations of nodes, and a spatial correlation matrix is generated; and S5) constructing a DSRNN network model based on a DSGRU unit, taking the time sequence data obtained in the step S3) as an input and a label, inputting the additional information vector obtained in the step S2) into the model, and assisting the model to predict the traffic flow of the target area, so that the dynamic spatial dependence of the traffic flow data can be better captured, and a better prediction effect can be achieved.

    本发明公开了一种基于时空图卷积网络的交通流量预测方法,包括S1):利用道路传感器收集目标区域的交通流量数据并进行预处理;S2):收集额外信息并进行编码,所述额外信息包括气候数据、当天是否为工作日以及节点周围的公共场所的种类和数量;S3):根据步骤S1)得到的预处理后的交通流量数据生成时间序列数据;S4):构建两个自适应向量ES,ET作为节点的空间嵌入表示,生成空间相关性矩阵;S5):构建基于DSGRU单元的DSRNN网络模型,将步骤S3)得到的时间序列数据作为输入和标签,再将步骤S2)得到的额外信息向量输入到模型中,辅助模型对目标区域的交通流量进行预测,可更好捕捉交通流量数据的动态空间依赖,并达到更好的预测效果。


    Access

    Download


    Export, share and cite



    Title :

    Traffic flow prediction method based on space-time diagram convolutional network


    Additional title:

    一种基于时空图卷积网络的交通流量预测方法


    Contributors:
    JIANG YUNLIANG (author) / XIA RENHUAN (author) / ZHANG XIONGTAO (author) / SUN DANFENG (author) / LIU YONG (author)

    Publication date :

    2022-11-04


    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



    Traffic flow prediction method based on space-time diagram convolutional network

    JIANG CONG / SONG YUN / DENG ZELIN et al. | European Patent Office | 2023

    Free access

    Traffic flow prediction method of space-time diagram convolutional network

    TENG FEI / WANG ZIDAN / QIAO LU et al. | European Patent Office | 2024

    Free access

    Traffic flow prediction method based on multi-space-time diagram convolutional network

    SHI QUAN / DAI JUNMING / SHEN QINQIN et al. | European Patent Office | 2021

    Free access

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

    ZHANG HONG / ZHAO YUANMENG / CHEN LINLONG et al. | European Patent Office | 2021

    Free access

    Traffic flow speed prediction method based on attention space-time diagram convolutional network

    SUN YONG / ZHANG ANQIN / CHEN JINGJING | European Patent Office | 2023

    Free access