The invention relates to a traffic hub node flow prediction method based on a road network directed graph and a parallel long-short-term memory network. The method mainly comprises: (1) a hub node discrimination method based on a traffic network directed graph; and (2) a traffic hub node flow prediction method based on a parallel long-short-term memory network. High-precision prediction of traffichub node flow is realized by distinguishing traffic network hub nodes and training a hub node traffic flow prediction model.
本发明涉及一种基于路网有向图和并联长短时记忆网络的交通枢纽节点流量预测方法。其发明内容主要包括:(1)基于交通路网有向图的枢纽节点判别方法;(2)基于并联长短时记忆网络的交通枢纽节点流量预测方法。通过辨别交通路网枢纽节点并训练枢纽节点交通流量预测模型,来实现交通枢纽节点流量高精度预测。
Traffic hub node flow prediction method based on road network digraph and parallel long-short-term memory network
一种基于路网有向图和并联长短时记忆网络的交通枢纽节点流量预测方法
2021-02-19
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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