The invention provides a traffic flow prediction method based on a weighted fractional order gray model, and the method comprises the following steps: processing traffic flow data through a weighted fractional order accumulation operator to obtain an accumulation generation sequence; establishing a weighted fractional order grey prediction model according to the accumulation generation sequence; and predicting the traffic flow data by using the weighted fractional order grey prediction model. According to the method, the weighted fractional order grey prediction model does not need a large amount of data as a prediction basis, so that the calculation redundancy is reduced, the calculation difficulty is reduced, the prediction speed is increased, and the real-time prediction capability andeffect of the method on the traffic flow are ensured.
本发明提出的一种基于加权分数阶灰色模型的交通流预测方法,包括以下步骤:用加权分数阶累加算子对交通流数据进行处理,得到累加生成序列;根据累加生成序列建立加权分数阶灰色预测模型;运用加权分数阶灰色预测模型对交通流数据进行预测。本发明中,加权分数阶灰色预测模型不需要大量的数据作为预测基础,减少了计算冗杂性、降低了计算难度、提高了预测速度,保证本方法对交通流的实时预测能力和效果。
Traffic flow prediction method and system based on weighted fractional order grey model
一种基于加权分数阶灰色模型的交通流预测方法及系统
2020-10-09
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / 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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