The invention discloses an intelligent high-speed traffic flow prediction method based on a continuous monitor, and belongs to the technical field of traffic flow prediction. An expressway portal frame collects real-time traffic flow data, a feature project is established for historical flow data to obtain multi-dimensional features, feature selection is performed through linear and nonlinear methods, a TCN + GBDT-based network model is established, and the real-time traffic flow data is obtained. Historical big data is used for training, and the model can predict the traffic flow at the next time interval. Compared with a traditional model driving method, a pure sequence feature-based neural network method, a single RNN-type neural network-based method and the like, the method has the advantage that the prediction precision is improved.
本发明的一种基于连续监测器的智慧高速交通流量预测方法,属于交通流量预测技术领域,高速公路门架采集实时交通流量数据,针对历史流量数据建立特征工程获取多维特征,通过线性和非线性方法进行特征选择,建立基于TCN+GBDT的网络模型,采用历史大数据进行训练,模型可对下一时间间隔交通流量进行预测。本方法较传统模型驱动方法、基于纯序列特征的神经网络方法、基于单一RNN类神经网络等方法提高了预测精度。
Intelligent highway traffic flow prediction method based on continuous monitor
一种基于连续监测器的智慧高速交通流量预测方法
2022-03-01
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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