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Systems and methods for utilizing a machine learning model to identify public parking spaces and for providing notifications of available public parking spaces

机译:利用机器学习模型来识别公共停车位和提供可用公共停车位通知的系统和方法

摘要

A device may receive geographical data identifying a geographical area, and may receive, from vehicle devices of vehicles, first vehicle data identifying engine off conditions, locations during engine off conditions, and durations of the engine off conditions. The device may divide, based on the geographical data, the geographical area into clusters with particular dimensions, and may process data identifying the clusters and the first vehicle data, with a machine learning model, to determine parking data identifying public parking spaces in the geographical area. The device may receive, from a set of the vehicle devices associated with vehicles parked in the public parking spaces, vehicle data identifying engine on conditions and locations during the engine on conditions, and may identify available public parking spaces based on the second vehicle data and the parking data. The device may perform one or more actions based on data identifying the available public parking spaces.
机译:设备可以接收识别地理区域的地理数据,并且可以从车辆的车辆设备接收第一车辆数据识别发动机关闭条件,在发动机关闭条件期间的位置,以及发动机关闭条件的持续时间。 该设备可以基于地理数据分割,地理区域具有特定尺寸的集群,并且可以使用机器学习模型来处理识别集群和第一车辆数据的数据,以确定识别地理上公共停车位的停车数据 区域。 该设备可以从与停放在公共停车位中的车辆相关联的车辆的一组车辆设备,车辆数据识别发动机在发动机期间的条件和位置,并且可以基于第二车辆数据识别可用的公共停车位 停车数据。 该设备可以基于识别可用公共停车位的数据执行一个或多个动作。

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