The invention discloses a traffic flow prediction method and system for an urban road network, and relates to the technical field of intelligent transportation, and the method comprises the steps: building a training data set comprising an adjacent matrix and a time sequence vector matrix; establishing a graph wavelet attention gating recurrent neural network model; wherein the model comprises a graph convolutional neural network based on wavelet transform and a gating recurrent neural network connected with the graph convolutional neural network; the gating recurrent neural network comprisesgating recurrent units which are in one-to-one correspondence with the time periods and are integrated into the attention mechanism; training and optimizing the graph wavelet attention gating recurrent neural network model by using the training data set; and inputting the adjacency matrix of the urban road network to be predicted and the time sequence vector matrix into the trained and optimized graph wavelet attention gating recurrent neural network model to obtain the traffic flow of each road section in a future time period. The method and the system disclosed by the invention can accurately predict the traffic flow.

    本发明公开一种城市路网的交通流量预测方法及系统,涉及智能交通技术领域,方法包括:建立包括邻接矩阵以及时间序列向量矩阵的训练数据集;建立图小波注意力门控循环神经网络模型;该模型包括基于小波变换的图卷积神经网络以及与所述图卷积神经网络连接的门控循环神经网络;门控循环神经网络包括与各时间段一一对应的融入注意力机制的门控循环单元;利用训练数据集对图小波注意力门控循环神经网络模型进行训练和优化;将待预测的城市路网的邻接矩阵以及时间序列向量矩阵输入训练和优化后的图小波注意力门控循环神经网络模型,得到各路段未来一时间段的交通流量。本发明公开的方法及系统,能够准确预测交通流量。


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Traffic flow prediction method and system for urban road network


    Weitere Titelangaben:

    一种城市路网的交通流量预测方法及系统


    Beteiligte:
    LI SONGJIANG (Autor:in) / WU NING (Autor:in) / WANG PENG (Autor:in)

    Erscheinungsdatum :

    2021-01-05


    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 / G06K Erkennen von Daten , RECOGNITION OF DATA / 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



    Road network flow prediction method for urban traffic signal control

    CAI XIAOYU / PENG BO | Europäisches Patentamt | 2023

    Freier Zugriff

    Urban road network traffic flow prediction method based on linear gray convolution model

    CAO YANG / SHEN QINQIN / ZHU RONGQI et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Urban high-density road network mixed traffic flow cellular transmission simulation prediction method

    XU CHENGCHENG / WANG ZHIHAO / PENG CHANG et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    The Urban Road Short-Term Traffic Flow Prediction Research

    Qin, Zhen Hai | Trans Tech Publications | 2013


    Urban area road network traffic flow prediction method and system based on mixed deep learning model

    ZHANG HONG / XU XIN / GUO FEI et al. | Europäisches Patentamt | 2021

    Freier Zugriff