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    UTILIZING A REQUESTOR DEVICE FORECASTING MODEL WITH FORWARD AND BACKWARD LOOKING QUEUE FILTERS TO PRE-DISPATCH PROVIDER DEVICES
    3.
    发明申请
    UTILIZING A REQUESTOR DEVICE FORECASTING MODEL WITH FORWARD AND BACKWARD LOOKING QUEUE FILTERS TO PRE-DISPATCH PROVIDER DEVICES 有权

    公开(公告)号：US20210295224A1

    公开(公告)日：2021-09-23

    申请号：US16827305

    申请日：2020-03-23

    Applicant: Lyft, Inc.

    Inventor： Maxim Dorofiyenko ,  Nir Even Chen ,  John Stevens Markevitch ,  Mohammad Ali Motie Share ,  Allen Lamson Nguyen ,  Lily Sierra

    IPC: G06Q10/06 ,  G06N5/04

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently pre-dispatching candidate provider devices to a geographic area by utilizing a pre-dispatch model accounting for forecasted transportation requests. For example, the disclosed systems can determine how many candidate provider devices to pre-dispatch to a geographic area based on a variety of inputs, including a projected requestor device queue, a projected provider device queue, and/or a queue capacity. In particular, the disclosed systems can utilize a look-ahead model and a look-behind model to compare a queue capacity with projected provider device queues corresponding to estimated times of arrival for one or more candidate provider devices. If the projected provider device queues comport with the queue capacity according to both the look-ahead model and the look-behind model, the disclosed systems can proceed with pre-dispatching the candidate provider device to the geographic area.

    INTELLIGENTLY CUSTOMIZING A CANCELLATION NOTICE FOR CANCELLATION OF A TRANSPORTATION REQUEST BASED ON TRANSPORTATION FEATURES
    5.
    发明申请
    INTELLIGENTLY CUSTOMIZING A CANCELLATION NOTICE FOR CANCELLATION OF A TRANSPORTATION REQUEST BASED ON TRANSPORTATION FEATURES 有权

    公开(公告)号：US20210142229A1

    公开(公告)日：2021-05-13

    申请号：US16681178

    申请日：2019-11-12

    Applicant: Lyft, Inc.

    Inventor： Jimmy Young ,  Mohammad Ali Motie Share ,  Humboldt Jayme Ramirez ,  Alex Collier Mazure, IV ,  Bao Kham Chau

    IPC: G06Q10/02 ,  G06Q50/30 ,  G06Q30/02 ,  G01C21/34 ,  G06N20/00

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently determining to assess (or not assess) a cancellation penalty and notifying a requestor device of such a penalty in response to either a requestor's selection to cancel a single transportation request for a requestor or a requestor's selection to cancel a shared-transportation request associated with multiple requestors. For example, the disclosed systems can generate conversion probabilities for a requestor reflecting if a cancellation penalty is assessed—and if the cancellation penalty is not assessed—for a cancellation of a transportation request for transport of a lone requestor. Based on the conversion probabilities, the disclosed systems customize a cancellation notice for a requestor device to either include or exclude the cancellation penalty. Additionally, or alternatively, in certain implementations, the disclosed systems generate a transportation efficiency metric for modifying a projected transportation route for a shared transportation to account for a cancellation of a shared-transportation request. Based on the transportation efficiency metric, the disclosed systems customize a cancellation notice for a requestor device to either include or exclude the cancellation penalty.

    DETERMINING ARRIVAL OF TRANSPORTATION PROVIDERS TO PICKUP LOCATIONS UTILIZING A HIKING DISTANCE PREDICTOR MODEL
    7.
    发明申请
    DETERMINING ARRIVAL OF TRANSPORTATION PROVIDERS TO PICKUP LOCATIONS UTILIZING A HIKING DISTANCE PREDICTOR MODEL 有权

    公开(公告)号：US20210004728A1

    公开(公告)日：2021-01-07

    申请号：US16504161

    申请日：2019-07-05

    Applicant: Lyft, Inc.

    Inventor： Andres Uribe Gonzalez ,  Alex Collier Mazure ,  Mohammad Ali Motie Share ,  Allen Lamson Nguyen ,  Jimmy Young

    IPC: G06Q10/02 ,  G06Q50/30 ,  G08G1/00

    Abstract: This disclosure describes an arrival determination system that determines a hiking distance for a transportation request and further enables a provider device to indicate arrival for pickup based on monitoring a location of the provider device. For example, the disclosed systems utilize a hiking distance predictor model to analyze request features associated with a transportation request to determine a hiking distance based on the request features. In addition, the disclosed systems monitor a location of a provider device of a provider matched to service the transportation request to determine when the provider device is within the hiking distance of a requested pickup location. Based on determining that the provider device is within the hiking distance, the disclosed systems enable the provider device to notify a requester device that the provider has arrived for pickup.

    Intelligently customizing a cancellation notice for cancellation of a transportation request based on transportation features
    9.
    发明授权
    Intelligently customizing a cancellation notice for cancellation of a transportation request based on transportation features 有权

    公开(公告)号：US11989669B2

    公开(公告)日：2024-05-21

    申请号：US16681178

    申请日：2019-11-12

    Applicant: Lyft, Inc.

    Inventor： Jimmy Young ,  Mohammad Ali Motie Share ,  Humboldt Jayme Ramirez ,  Alex Collier Mazure, IV ,  Bao Kham Chau

    IPC: G06Q10/02 ,  G01C21/34 ,  G06N5/01 ,  G06N20/00 ,  G06Q30/0283 ,  G06Q50/40

    CPC classification number: G06Q10/02 ,  G06N20/00 ,  G06Q30/0283 ,  G06Q50/40

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently determining to assess (or not assess) a cancellation penalty and notifying a requestor device of such a penalty in response to either a requestor's selection to cancel a single transportation request for a requestor or a requestor's selection to cancel a shared-transportation request associated with multiple requestors. For example, the disclosed systems can generate conversion probabilities for a requestor reflecting if a cancellation penalty is assessed—and if the cancellation penalty is not assessed—for a cancellation of a transportation request for transport of a lone requestor. Based on the conversion probabilities, the disclosed systems customize a cancellation notice for a requestor device to either include or exclude the cancellation penalty. Additionally, or alternatively, in certain implementations, the disclosed systems generate a transportation efficiency metric for modifying a projected transportation route for a shared transportation to account for a cancellation of a shared-transportation request. Based on the transportation efficiency metric, the disclosed systems customize a cancellation notice for a requestor device to either include or exclude the cancellation penalty.

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