The invention relates to a traffic flow prediction method based on an improved space-time diagram convolutional neural network, and the method comprises the following steps: 1), carrying out the graph learning through employing a gating circulation unit and an attention mechanism, and obtaining traffic flow data represented by an adjacent matrix; 2) converting the data into a spectral domain for learning by using operations of graph Fourier transform and discrete Fourier transform; and 3) using a graph convolutional neural network and a gating linear unit to carry out learning prediction on data in a spectral domain, and providing data support for intelligent traffic management. Compared with the prior art, the method has the advantages that the prediction precision of the model in the face of a complex road topological structure is improved, and the like.

    本发明涉及一种基于改进时空图卷积神经网络的交通流量预测方法,方法包括以下步骤:1)利用门控循环单元和注意力机制进行图学习,得到以邻接矩阵表示的交通流量数据;2)利用图傅里叶变换和离散傅里叶变换的操作,将数据转化到谱域中学习;3)使用图卷积神经网络和门控线性单元对谱域中的数据进行学习预测,为智能交通管理提供数据依托。与现有技术相比,本发明具有提高模型在面对复杂道路拓扑结构时的预测精度等优点。


    Access

    Download


    Export, share and cite



    Title :

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


    Additional title:

    一种基于改进时空图卷积神经网络的交通流量预测方法


    Contributors:
    LI BAILIN (author) / WEN MI (author)

    Publication date :

    2025-02-07


    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



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

    MAO GUOJUN / ZHAO SHIHAO / WANG XIANG | European Patent Office | 2022

    Free access

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

    JIANG YUNLIANG / XIA RENHUAN / ZHANG XIONGTAO et al. | European Patent Office | 2022

    Free access

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

    WU JIANQING / XU YE / HUO YANQIANG et al. | European Patent Office | 2023

    Free access

    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