The invention discloses a traffic flow prediction method based on mixed feature mining. The method comprises: introducing mixed characteristic data on the basis of traffic flow data; wherein the dataspecifically comprises time characteristic data and traffic situation characteristic data; according to a traffic flow prediction target, mining corresponding features which are high in importance, large in feature difference and independent of one another from mixed features, eliminating features which are low in correlation and redundant and repeated, combining the mined features with traffic flow data to serve as model input, constructing a traffic flow prediction model, and achieving traffic flow prediction through the model. The prediction model with lower complexity and higher interpretability is constructed while rich features are introduced, and the prediction accuracy of the model is remarkably improved.
本发明公开了一种基于混合特征挖掘的交通流量预测方法,在该方法中,在交通流量数据的基础上引入混合特征数据,具体包括时间特征数据和交通态势特征数据,根据交通流量预测目标从混合特征中挖掘出相应的重要性高且特征之间差异大、相互独立的特征,而剔除相关性低、冗余重复的特征,将挖掘出的特征结合交通流量数据作为模型输入,构建交通流量预测模型,通过模型实现交通流量预测。在实现丰富特征引入的同时,构建了复杂度更低、解释性更强的预测模型,显著提升了模型的预测精准度。
Traffic flow prediction method based on mixed feature mining
一种基于混合特征挖掘的交通流量预测方法
2020-08-07
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / 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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