Assigning rides based on probability of provider acceptance

    公开(公告)号:US11158020B2

    公开(公告)日:2021-10-26

    申请号:US15859111

    申请日:2017-12-29

    Applicant: Lyft, Inc.

    Abstract: The present disclosure relates assigning ride requests to providers based on the probability that a provider will accept the request. For example, one or more embodiments identify a first provider to assign the ride request. The system then generates a probability of acceptance for that provider. The system then determines an estimated time-to-arrival for the first provider and an alternate estimated time-to-arrival associated with a re-assigned provider. Based on the acceptance probability, the estimated time-to-arrival, and the alternate estimated time-to-arrival, the system then determines an expected time-to-arrival associated with the first provider. The system assigns ride requests to providers based on optimizing the expected time-to-arrival across multiple potential providers for a ride request.

    INTELLIGENTLY CUSTOMIZING A CANCELLATION NOTICE FOR CANCELLATION OF A TRANSPORTATION REQUEST BASED ON TRANSPORTATION FEATURES

    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.

    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.

    ASSIGNING RIDES BASED ON PROBABILITY OF PROVIDER ACCEPTANCE

    公开(公告)号:US20190206008A1

    公开(公告)日:2019-07-04

    申请号:US15859111

    申请日:2017-12-29

    Applicant: Lyft, Inc.

    CPC classification number: G06Q50/30 G06N7/005 G06Q10/063112

    Abstract: The present disclosure relates assigning ride requests to providers based on the probability that a provider will accept the request. For example, one or more embodiments identify a first provider to assign the ride request. The system then generates a probability of acceptance for that provider. The system then determines an estimated time-to-arrival for the first provider and an alternate estimated time-to-arrival associated with a re-assigned provider. Based on the acceptance probability, the estimated time-to-arrival, and the alternate estimated time-to-arrival, the system then determines an expected time-to-arrival associated with the first provider. The system assigns ride requests to providers based on optimizing the expected time-to-arrival across multiple potential providers for a ride request.

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