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    Determining traffic control features based on telemetry patterns within digital image representations of vehicle telemetry data
    1.
    发明授权
    Determining traffic control features based on telemetry patterns within digital image representations of vehicle telemetry data 有权

    公开(公告)号：US10990819B2

    公开(公告)日：2021-04-27

    申请号：US16408168

    申请日：2019-05-09

    Applicant: Lyft, Inc.

    Inventor： Deeksha Goyal ,  Han Suk Kim ,  James Kevin Murphy ,  Albert Yuen

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/46

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for identifying traffic control features based on telemetry patterns within digital image representations of vehicle telemetry information. The disclosed systems can generate a digital image representation based on collected telemetry information to represent the frequency of different speed-location combinations for transportation vehicles passing through a traffic area. The disclosed systems can also apply a convolutional neural network to analyze the digital image representation and generate a predicted classification of a type of traffic control feature that corresponds to the digital image representation of vehicle telemetry information. The disclosed systems further train the convolutional neural network to determine traffic control features based on training data.

    UTILIZING ARTIFICIAL NEURAL NETWORKS TO EVALUATE ROUTES BASED ON GENERATED ROUTE TILES
    4.
    发明申请
    UTILIZING ARTIFICIAL NEURAL NETWORKS TO EVALUATE ROUTES BASED ON GENERATED ROUTE TILES 审中-公开

    公开(公告)号：US20190204088A1

    公开(公告)日：2019-07-04

    申请号：US15858775

    申请日：2017-12-29

    Applicant: Lyft, Inc.

    Inventor： Asif Haque ,  James Kevin Murphy ,  Yuanyuan Malek

    IPC: G01C21/30 ,  G06N3/02 ,  G06N5/02

    Abstract: 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.

    TRAVEL PATH AND LOCATION PREDICTIONS
    5.
    发明申请
    TRAVEL PATH AND LOCATION PREDICTIONS 审中-公开

    公开(公告)号：US20190051174A1

    公开(公告)日：2019-02-14

    申请号：US15675422

    申请日：2017-08-11

    Applicant: Lyft, Inc.

    Inventor： Asif Haque ,  James Kevin Murphy ,  Yuanyuan Pao

    IPC: G08G1/123 ,  G06Q10/02 ,  G06Q50/30

    Abstract: Embodiments provide techniques, including systems and methods, for determining projected locations for providers to better match providers in response to a transport request. Providers may be matched to a requestor based not only on a current location of the provider with respect to a request location, with a projected location of the provider that accounts for timing delays in processing transport requests, communication networks, etc. As such, projecting the projected location of the provider allows the dynamic transportation matching system to be matched more efficiently, reducing delay for the provider and requestor, and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider inefficient rerouting upon matching.

    Utilizing artificial neural networks to evaluate routes based on generated route tiles
    9.
    发明授权
    Utilizing artificial neural networks to evaluate routes based on generated route tiles 有权

    公开(公告)号：US10551199B2

    公开(公告)日：2020-02-04

    申请号：US15858775

    申请日：2017-12-29

    Applicant: Lyft, Inc.

    Inventor： Asif Haque ,  James Kevin Murphy ,  Yuanyuan Malek

    IPC: G01C21/00 ,  G01C21/30 ,  G06N3/02 ,  G06N5/02

    Abstract: 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.

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