The invention discloses an intersection traffic flow prediction method based on LSTM, and relates to the technical field of prediction and recognition. Comprising the following steps: step 1, constructing an LSTM neural network prediction model with a seven-layer network structure; step 11, collecting data, including data of inhalable particles PM10, data of fine particles PM2.5, visibility data, temperature, distance between the intersection and the downtown and data of traffic flow of the intersection in a certain time period, of the intersection; the method comprises the following steps: step 1, training an LSTM neural network prediction model, hidden layers of the LSTM neural network prediction model comprising four LSTM layers, two Dropout layers and a Dense Layer layer, and step 2, selecting an intersection site and time to be predicted, and performing data prediction of the intersection traffic flow by using the LSTM neural network model.
本发明公开一种基于LSTM的路口车流量的预测方法,涉及预测识别技术领域;包括:步骤1:构建具有七层网络结构的LSTM神经网络预测模型:步骤11:采集数据:采集路口一定时间段内数据,所述数据包括可吸入颗粒物PM10的数据、细颗粒物PM2.5的数据、能见度数据、温度、路口与市中心的距离和路口车流量的数据,步骤12:利用采集的数据,训练LSTM神经网络预测模型,所述LSTM神经网络预测模型的隐含层包含四个LSTM层、两个Dropout层和一个Dense Layer层,步骤2:选择需要预测的路口地点和时间,利用LSTM神经网络模型进行路口车流量的数据预测。
Intersection traffic flow prediction method based on LSTM
一种基于LSTM的路口车流量的预测方法
2024-04-26
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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