The invention discloses a road section traffic flow prediction method based on a time convolution neural network, and the method comprises the following steps: combining collected historical traffic flow data according to a specified time interval, carrying out the normalization processing, and dividing the normalized traffic flow data into a training data set, a verification data set and a test data set; establishing a traffic flow prediction method based on a time convolutional neural network, training a time convolutional neural network prediction model by using the training data set, screening out an optimal prediction model by using the verification data set, and performing traffic flow prediction on the test set by using the time convolutional neural network model; and comparing theprediction data with the actual data, and performing error analysis. Based on the time convolution neural network structure, the space-time correlation of the traffic flow is considered, the trainingtime is short, and the prediction precision is high.

    本发明公开了一种基于时间卷积神经网络的道路断面交通流量预测方法,包括以下步骤:对采集的历史交通流量数据按指定时间间隔进行合并,并进行归一化处理,将归一化的交通流数据划分为训练数据集、验证数据集和测试数据集;建立基于时间卷积神经网络的的交通流量预测方法,利用训练数据集训练时间卷积神经网络预测模型,利用验证数据集筛选出最优的预测模型,在测试集上利用时间卷积神经网络模型进行交通流量预测;对比预测数据和实际数据,进行误差分析。本发明基于时间卷积神经网络结构,考虑交通流的时空相关性,训练时间短、预测精度高。


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    Titel :

    Road section traffic flow prediction method based on time convolution neural network


    Weitere Titelangaben:

    一种基于时间卷积神经网络的道路断面交通流量预测方法


    Beteiligte:
    JIN SHENG (Autor:in) / CHANG WEI (Autor:in)

    Erscheinungsdatum :

    2020-05-08


    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 / 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



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