The invention discloses a departure interval prediction method and device, a prediction model training method and device and equipment, and relates to the field of big data. According to the specific implementation scheme, a to-be-predicted bus route is acquired; feature data of the to-be-predicted bus route is determined, the feature data is obtained based on the behavior trajectory data of the multiple users, and the feature data is used for representing the demand degree of the passengers taking the to-be-predicted bus route; and the departure interval time of the to-be-predicted bus route is predicted based on the feature data to obtain the departure interval time of the to-be-predicted bus route. Therefore, the departure interval time with higher confidence is obtained.
本申请公开了发车间隔预测方法、预测模型训练方法及其装置和设备,涉及大数据领域。具体实现方案为:获取待预测的公交线路;确定待预测的公交线路的特征数据,特征数据是基于多个用户的行为轨迹数据得到的,特征数据用于表征乘客乘坐待预测的公交线路的需求度;基于特征数据对待预测的公交线路的发车间隔时间进行预测,得到待预测的公交线路的发车间隔时间。从而得到置信度更高的发车间隔时间。
Departure interval prediction method, prediction model training method, device and equipment
发车间隔预测方法、预测模型训练方法及其装置和设备
2021-10-29
Patent
Electronic Resource
Chinese
IPC: | 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 / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze |
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