The invention relates to a traffic volume prediction method of a Prophet-DeepAR model. The method comprises the following steps: acquiring a traffic volume data set and a covariable data set; constructing a Prophet model, inputting the traffic volume data set into the Prophet model, decomposing the traffic volume data set, and outputting a first prediction result; constructing a DeepAR model, training the DeepAR model based on the decomposed traffic volume data set and the covariable data set, and generating a second prediction result based on the trained DeepAR model; and obtaining a traffic volume prediction result in combination with the first prediction result and the second prediction result. Through model combination, compared with an existing traffic volume prediction model, the method has better prediction performance under the condition of emergencies.
本发明涉及Prophet‑DeepAR模型的交通量预测方法,包括:获取交通量数据集和协变量数据集;构建Prophet模型,将所述交通量数据集输入所述Prophet模型,分解所述交通量数据集,输出第一预测结果;构建DeepAR模型,基于分解后的所述交通量数据集和所述协变量数据集训练所述DeepAR模型,基于训练后的所述DeepAR模型,生成第二预测结果;结合所述第一预测结果和所述第二预测结果,获取交通量预测结果。本发明通过模型组合,与现有交通量预测模型相比,在突发事件条件下具有更好的预测性能。
Traffic volume prediction method of Prophet-DeepAR model
Prophet-DeepAR模型的交通量预测方法
2023-08-08
Patent
Electronic Resource
Chinese
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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