The invention relates to a method for predicting a road traffic state. The method comprises the following steps: acquiring traffic data in a road; wherein the traffic data comprises at least one of attribute information of traffic flow and attribute information of vehicles; inputting the traffic data into a traffic state prediction model to predict the traffic state of the target road section, wherein the traffic state prediction model comprises a supervised learning machine learning model, and the supervised learning machine learning model comprises a preset corresponding relationship betweenthe traffic data and the traffic state. By adopting the traffic state prediction model to predict the road traffic state, the prediction accuracy is higher. The invention further relates to a road traffic state prediction device, computer equipment and a computer readable storage medium.
本申请涉及一种道路交通状态的预测方法,该方法包括:获取道路中的交通数据;所述交通数据包括交通流量的属性信息和车辆的属性信息中的至少一种;将所述交通数据输入到交通状态预测模型中,预测目标路段的交通状态;所述交通状态预测模型包括有监督学习的机器学习模型,所述有监督学习的机器学习模型包括预设的所述交通数据与所述交通状态的对应关系。采用该交通状态预测模型来预测道路交通状态,预测准确性更高。本申请还涉及一种道路交通状态的预测装置、计算机设备和计算机可读存储介质。
Road traffic state prediction method and device, computer equipment and storage medium
道路交通状态的预测方法及装置、计算机设备和存储介质
2020-11-10
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06K Erkennen von Daten , RECOGNITION OF DATA / 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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