The invention belongs to the field of artificial intelligence, and particularly relates to a traffic flow prediction method based on a residual network, and the method comprises the steps: constructing a traffic flow prediction model which comprises a data input module, an external feature extraction module and a spatial feature extraction module; acquiring information data of a to-be-predicted place, and inputting traffic data into a data input module for splitting to obtain traffic flow data at key time; inputting external data into an external feature extraction module to obtain external features; after the external features and the critical time traffic flow data are fused, a fused feature map is input into a spatial feature extraction module for traffic flow prediction, and a prediction result is obtained; according to the method, a new data division strategy is used, and historical traffic flow data are used more effectively.
本发明属于人工智能领域,具体涉及一种基于残差网络的交通流量预测方法,包括:构建交通流量预测模型,其中,交通流量预测模型包括数据输入模块、外部特征提取模块以及空间特征提取模块;获取待预测地点的信息数据,将交通数据输入到数据输入模块中进行拆分,得到关键时间交通流量数据;将外部数据输入到外部特征提取模块中,得到外部特征;将外部特征和关键时间交通流量数据进行融合后,将融合后的特征图输入到空间特征提取模块进行交通流量预测,得到预测结果;本发明使用了新的数据划分策略,更为有效的使用历史车流量数据。
Traffic flow prediction method based on residual network
一种基于残差网络的交通流量预测方法
2023-12-12
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / 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 global diffusion convolution residual network
Europäisches Patentamt | 2020
|Traffic flow prediction method based on hierarchical dynamic residual map convolutional network
Europäisches Patentamt | 2023
|Traffic flow prediction method based on residual decomposition recurrent neural network
Europäisches Patentamt | 2023
|Road network short-term traffic flow prediction method based on deep space-time residual network
Europäisches Patentamt | 2021
|Europäisches Patentamt | 2023
|