The embodiment of the invention relates to a method and equipment for determining an expected time of arrival (ETA). The method comprises the following steps: acquiring a feature vector of each historical travel in a plurality of historical travels; taking the feature vectors and the actual durations of the plurality of historical travels as a sample set to construct a predicted arrival time estimation model; and determining the predicted time of arrival of the new journey using the constructed predicted time of arrival estimation model. According to the embodiment of the invention, a plurality of historical itineraries are used as the sample set, and the predicted arrival time estimation model is trained through machine learning, so that the predicted arrival time of a new itinerary can be accurately and efficiently estimated.
本公开的实施例涉及用于确定预计到达时间(ETA)的方法和设备。该方法包括:获取多个历史行程中的每个历史行程的特征向量;将多个历史行程的特征向量和实际时长作为样本集,以构建预计到达时间估计模型;以及使用经构建的预计到达时间估计模型来确定新的行程的预计到达时间。本公开的实施例利用多个历史行程作为样本集,通过机器学习训练预计到达时间估计模型,从而能够准确、高效地估计新的行程的预计到达时间。
Method and apparatus for determining predicted time of arrival
用于确定预计到达时间的方法和设备
2022-08-30
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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