The invention discloses a traffic flow prediction method based on LSTM-Attention, and the method comprises the steps: collecting historical data, carrying out the preprocessing of the historical data, inputting the processed data into an established LSTM-Attention model, carrying out the training of the LSTM-Attention model, and predicting the traffic flow at a next moment through employing the trained LSTM-Attention model. The prediction accuracy of the method is higher than that of machine learning models such as traditional statistics and single LSTM.
本发明公开了一种基于LSTM‑Attention的交通流量预测方法,该方法采集历史数据,并对历史数据进行预处理,将处理后的数据输入至建立好的LSTM‑Attention模型中,对该LSTM‑Attention模型进行训练,采用训练好的LSTM‑Attention模型预测下一个时刻的交通流量。本发明的预测准确度高于传统的统计学和单一的LSTM等机器学习模型。
Traffic flow prediction method based on LSTM-Attention
一种基于LSTM-Attention的交通流量预测方法
2021-06-08
Patent
Elektronische Ressource
Chinesisch
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 |
Traffic flow prediction method based on PSO-Attention-LSTM model
Europäisches Patentamt | 2023
|Fusion attention mechanism bidirectional LSTM for short-term traffic flow prediction
Taylor & Francis Verlag | 2024
|Intersection traffic flow prediction method based on LSTM
Europäisches Patentamt | 2024
|Conv1D + LSTM-based multi-step traffic flow prediction method
Europäisches Patentamt | 2021
|Instant traffic flow prediction method based on Conv-LSTM
Europäisches Patentamt | 2023
|