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Utilizing artificial neural networks to evaluate routes based on generated route tiles

机译:利用人工神经网络基于生成的路线图块评估路线

摘要

This disclosure covers methods, non-transitory computer readable media, and systems that generate route tiles reflecting both GPS locations and map-matched locations for regions along a route traveled by a client device associated with a transportation vehicle. For example, in some implementations, the disclosed systems use an artificial neural network to analyze the route tiles and determine route-accuracy metrics indicating GPS locations or map-matched locations for particular regions along the route. The disclosed systems can then use the route-accuracy metrics to facilitate transport of requestors by, for example, determining a distance of the route or a location of a client device associated with a transportation vehicle.
机译:本公开涵盖方法,非暂时性计算机可读介质和系统,该系统,系统和系统生成沿与与运输车辆相关联的客户端设备行进的路线所行进的区域的,反映GPS位置和地图匹配位置的路线图块。例如,在一些实施方式中,所公开的系统使用人工神经网络来分析路线图并确定路线精度度量,其指示沿着路线的特定区域的GPS位置或地图匹配的位置。然后,所公开的系统可以使用路线准确性度量来通过例如确定路线的距离或与运输车辆相关联的客户端设备的位置来促进请求者的运输。

著录项

  • 公开/公告号US10551199B2

    专利类型

  • 公开/公告日2020-02-04

    原文格式PDF

  • 申请/专利权人 LYFT INC.;

    申请/专利号US201715858775

  • 申请日2017-12-29

  • 分类号G01C21;G01C21/30;G06N3/02;G06N5/02;

  • 国家 US

  • 入库时间 2022-08-21 11:25:16

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