The invention provides a road network traffic time sequence characteristic data quality diagnosis and restoration method which comprises the following steps: S1, obtaining a regional road network topological structure, and constructing a traffic data prediction model; S2, acquiring historical traffic data, training a model and checking the prediction precision of the model; S3, carrying out the real-time detection and repair of the abnormal conditions of the data according to the data collected by a traffic detector and the traffic data after fusion production; and S4, performing incremental training on the prediction model so that the prediction precision of the model can be ensured. The method has the beneficial effects that the current day data is predicted based on the historical data,the mode of the road network data comprehensive production data is combined, the quality of the data is comprehensively judged, and finally reasonable and high-relevance high-quality data is continuously outputted.
一种路网交通时序特征数据质量诊断与修复方法,其步骤如下:S1、获取区域路网拓扑结构,构建交通数据预测模型;S2、获取历史交通数据,训练模型并检验模型的预测精度;S3、针对交通检测器采集的数据融合生产后的交通数据,进行数据异常情况的实时检测和修补;S4、对预测模型进行增量训练,保证模型的预测精度。本发明的有益效果:基于历史数据预测当天数据及联合路网数据综合生产数据的模式以及对数据的质量进行综合判定,最终实现持续输出合理,关联性强的高质量数据。
Road network traffic time sequence characteristic data quality diagnosis and restoration method
一种路网交通时序特征数据质量诊断与修复方法
19.05.2020
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 |
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