The invention provides a travel time prediction method based on floating car data. The method comprises the following steps: 1, cleaning data, positioning a map, and calculating simple road section nodes and average speed; 2, calculating an optimal set of non-minimum paths for analysis of historical trajectories; and 3, training a neural network for previously calculated and analyzed data througha prediction algorithm. According to the invention, map matching is carried out on the obtained trajectory data, then analysis and calculation are carried out on the data, and finally prediction and calculation are carried out on historical data through a prediction algorithm, so that the calculated path travel time is more accurate.
本发明提供一种基于浮动车数据的行程时间预测方法,该方法包括:第一步为数据的清洗,地图定位以及简单的路段节点和平均速度的计算;第二步为对历史轨迹的分析计算出最佳的非最小路径的集合;第三步为通过预测算法对之前计算以及分析的数据进行神经网络的训练。本发明对获取到的轨迹数据进行地图匹配,然后再对数据进行分析计算,最后通过将历史数据通过预测算法进行预测计算,计算得到的路径行程时间更加准确。
Travel time prediction method based on floating car data
一种基于浮动车数据的行程时间预测方法
2020-09-25
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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