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11.
公开(公告)号:US20230252595A1
公开(公告)日:2023-08-10
申请号:US18156880
申请日:2023-01-19
Applicant: Lyft, Inc.
Inventor: Man Geen Harold Li , Alex Collier Mazure , Mohammad Ali Motie Share , Jimmy Young , Mu Xia , Kevin Wang
IPC: G06Q50/30 , G06Q30/018 , H04W4/029 , G06Q30/0283 , G06Q30/0204 , G06Q10/047 , G06N3/047
CPC classification number: G06Q50/30 , G06Q30/0185 , H04W4/029 , G06Q30/0284 , G06Q30/0205 , G06Q10/047 , G06N3/047
Abstract: The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.
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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.
Inventor: Chinmoy Dutta , Adam Greenhall , Christopher Sholley , Jimmy Young , Jatin Chopra
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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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
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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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.
Inventor: Chinmoy Dutta , Adam Greenhall , Christopher Sholley , Jimmy Young , Jatin Chopra
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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