The invention belongs to the technical field of vehicle and logistics fleet management, and relates to a method for performing aggregation analysis on vehicle permanent parking points based on parkingpoint intervals, durations and frequencies. The method comprises the following steps of: S1, continuously receiving position and driving information reported by a vehicle-mounted GPS terminal, and performing preliminary analysis to form parking records; S2, obtaining parking points and parking durations in the parking records within 30 days, and obtaining candidate points; S3, setting terms and preset parameters; and S4, obtaining a candidate point cluster for the candidate points in the S2, through a clustering algorithm. With the method of the invention adopted, under a human-free interference condition, a series of parking points without specific meanings are judged and identified, parking points with practical meanings for vehicle are identified in an artificial intelligence analysismode; and therefore, a plurality of permanent parking points with specific meanings in the running process of the vehicle can be obtained, and a powerful logic basis is provided for later vehicle travel merging.
本发明属于车辆及物流车队管理技术领域,尤其为一种基于停车点间距、时长和频次聚合分析车辆常驻点的方法,包括以下步骤:S1:持续接收车载GPS终端上报的位置及行驶信息,初步解析,形成停车记录;S2:获得30天内停车记录中的停车点及停车时长,获取候选点;S3:设置术语及预设参数;S4、针对S2所述的候选点通过聚类算法得到候选点簇。本发明能够在无人进行干涉的情况下,通过对一系列无具体含义停车点的判断识别,以人工智能分析的方式将车辆有实际意义的停车点识别出来,从而能够得到一个车辆在运行过程中有具体含义的多个常驻停靠点,在以后车辆行程合并的时候提供有力的逻辑依据。
Method for performing aggregation analysis on vehicle permanent parking points based on parking point intervals, durations and frequencies
基于停车点间距、时长和频次聚合分析车辆常驻点的方法
2020-05-12
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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