The invention provides a traffic flow prediction method based on a regional graph structure, and the method comprises the steps: constructing a regional graph from an original graph structure through a region segmentation technology, integrating key region information through a graph convolutional neural network, and carrying out the traffic flow prediction through the introduction of a memory network, recognition and utilization of a potential mode between regions.
本发明提供一种基于区域图结构的交通流量预测方法,通过区域分割技术从原始图结构中构建区域图,利用图卷积神经网络整合关键区域信息,并通过引入记忆网络,识别并利用区域间的潜在模式以进行交通流量预测。
Traffic flow prediction method based on regional graph structure
基于区域图结构的交通流量预测方法
2025-02-28
Patent
Electronic Resource
Chinese
IPC: | 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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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