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Systems and methods of application of machine learning to traffic data for vehicle recommendation

机译:机器学习应用于车辆推荐的交通数据的系统和方法

摘要

According to certain aspects of the disclosure, a computer-implemented method may be used for providing vehicle recommendations based on traffic camera data. The method may include acquiring traffic data from a plurality of traffic cameras and determining vehicle information based on the traffic data. Additionally, calculating average idling time of vehicles based on the traffic data from the plurality of traffic cameras. Additionally, determining accident information based on the traffic data from the plurality of traffic cameras and selecting at least one available vehicle for purchase, wherein the at least one available vehicle matches one or more predetermined requirements based on the determined vehicle information, average idling time, and the determined accident information. Additionally, transmitting a recommendation based on the selected at least one available vehicle for purchase.
机译:根据本公开的某些方面,计算机实现的方法可用于基于交通摄像机数据提供车辆推荐。 该方法可以包括从多个交通摄像机获取业务数据并基于业务数据确定车辆信息。 另外,基于来自多个交通摄像机的交通数据计算车辆的平均空转时间。 另外,基于来自多个交通摄像机的业务数据确定事故信息,并选择至少一个可用的车辆进行购买,其中至少一个可用的车辆基于所确定的车辆信息,平均空转时间匹配一个或多个预定要求, 和确定的事故信息。 另外,基于所选择的至少一个可用的车辆传输推荐。

著录项

  • 公开/公告号US11151633B1

    专利类型

  • 公开/公告日2021-10-19

    原文格式PDF

  • 申请/专利权人 CAPITAL ONE SERVICES LLC;

    申请/专利号US202016903750

  • 申请日2020-06-17

  • 分类号G06Q30;G06Q30/06;G08G1/017;G06Q10/08;G01C21/34;G06N20;G06N5/04;G01C21/28;G06Q30/08;

  • 国家 US

  • 入库时间 2022-08-24 21:44:55

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