The invention provides a regular bus arrival time prediction method and device, equipment and a storage medium, and the method comprises the steps: obtaining the prediction information of a target regular bus, and the prediction information comprises prediction time and prediction station information; acquiring a plurality of reference historical samples from preset historical data according to the prediction information; based on a preset deep learning clustering model, clustering the historical driving durations to obtain a reference driving duration interval, and determining reference historical samples of which the historical driving durations are located in the reference driving duration interval as target historical samples; and according to the historical driving duration of the target historical sample, determining a predicted driving duration, and according to the predicted driving duration, determining a predicted arrival time when the target regular bus arrives at the target station. According to the technical scheme of the embodiment of the invention, after the reference historical sample is matched according to the prediction information, the historical driving duration is clustered through the clustering model, the samples with large errors are screened out, and the prediction accuracy is improved.
本发明提出了一种班车到站时刻的预测方法、装置、设备、存储介质,该方法包括:获取目标班车的预测信息,预测信息包括预测时刻和预测站点信息;根据预测信息从预设的历史数据中获取多个参考历史样本;基于预设的深度学习聚类模型,对历史行驶时长进行聚类得到参考行驶时长区间,将历史行驶时长位于参考行驶时长区间的参考历史样本确定为目标历史样本;根据目标历史样本的历史行驶时长确定预测行驶时长,根据预测行驶时长确定目标班车到达目标站点的预测到站时刻。根据本发明实施例的技术方案,能够在根据预测信息匹配出参考历史样本后,对通过聚类模型对历史行驶时长进行聚类,筛除误差较大的样本,提高预测的准确性。
Regular bus arrival time prediction method and device, equipment and storage medium
班车到站时刻的预测方法、装置、设备、存储介质
2023-06-23
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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