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公开(公告)号：US11341435B2
公开(公告)日：2022-05-24
申请号：US16024451
申请日：2018-06-29
Applicant: Lyft, Inc.
Inventor： Garrett van Ryzin , Jianzhe Luo , Christopher Sholley , Adam Greenhall , Jeremy Alexander Karp
IPC: G06Q10/06
Abstract: The disclosed computer-implemented method may include matching transportation requests to transportation providers using a dynamic transportation matching system. Matching transportation requestors which have varying preferences for waiting times and transportation pricing with transportation providers having varying levels of available supply may involve matching methods that satisfy the transportation requestors while maintaining an appropriate level of supply. A method which provides immediate service for transportation requestors that may be willing to pay a premium fare while placing transportation requestors not willing to pay a premium fare and may be willing to wait may provide a balance of supply and demand of transportation providers. Accordingly, immediately matching transportation requestors not willing to wait while placing the transportation requestors willing to wait in a queue may provide the balanced approach to managing transportation provider availability. Other methods, systems, and computer-readable media are disclosed.
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公开(公告)号：US20240420269A1
公开(公告)日：2024-12-19
申请号：US18818373
申请日：2024-08-28
Applicant: Lyft, Inc.
Inventor： Jianzhe Luo , Danial Afzal , Jatin Chopra , Christopher Sholley
IPC: G06Q50/40 , G06Q10/0631 , G06Q50/43 , G06Q50/47
Abstract: Embodiments provide techniques, including systems and methods, for assignment and/or reassignment of transport requests received within a request matching time period. For example, transport requests received during a request matching time period, as well as requests determined to be eligible during the request matching time period for reassignment, are associated with a location identifier (e.g., geohash) and are pooled at a dynamic transportation matching system in order for a dynamic assignment and/or reassignment that may reduce a metric (e.g., an overall estimated time of arrival (ETA) for requests) associated with the dynamic transportation matching system.
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公开(公告)号：US12086897B2
公开(公告)日：2024-09-10
申请号：US15582253
申请日：2017-04-28
Applicant: Lyft, Inc.
Inventor： Jianzhe Luo , Danial Afzal , Jatin Chopra , Christopher Sholley
IPC: G06Q50/40 , G06Q10/0631 , G06Q50/43 , G06Q50/47
CPC classification number: G06Q50/40 , G06Q10/06313 , G06Q50/47 , G06Q50/43
Abstract: Embodiments provide techniques, including systems and methods, for assignment and/or reassignment of transport requests received within a request matching time period. For example, transport requests received during a request matching time period, as well as requests determined to be eligible during the request matching time period for reassignment, are associated with a location identifier (e.g., geohash) and are pooled at a dynamic transportation matching system in order for a dynamic assignment and/or reassignment that may reduce a metric (e.g., an overall estimated time of arrival (ETA) for requests) associated with the dynamic transportation matching system.
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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：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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Patent Agency Ranking
公开(公告)号：US20240428362A1
公开(公告)日：2024-12-26
申请号：US18829595
申请日：2024-09-10
Applicant: Lyft, Inc.
Inventor： Ricky Chachra , Tzu-Hsin Chiao , Ashivni Shekhawat , Christopher Sholley , Jerome Hong-Phat Thai , Adriel Frederick
Abstract: This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.
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公开(公告)号：US12094024B1
公开(公告)日：2024-09-17
申请号：US18469127
申请日：2023-09-18
Applicant: Lyft, Inc.
Inventor： Ricky Chachra , Tzu-Hsin Chiao , Ashivni Shekhawat , Christopher Sholley , Jerome Hong-Phat Thai , Adriel Frederick
Abstract: This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.
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公开(公告)号：US11514546B2
公开(公告)日：2022-11-29
申请号：US16921698
申请日：2020-07-06
Applicant: Lyft, Inc.
Inventor： Ricky Chachra , Tzu-Hsin Chiao , Ashivni Shekhawat , Christopher Sholley , Jerome Hong-Phat Thai , Adriel Frederick
Abstract: This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.
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公开(公告)号：US20210117874A1
公开(公告)日：2021-04-22
申请号：US17031252
申请日：2020-09-24
Applicant: Lyft, Inc.
Inventor： Chris Lambert , Christopher Sholley , Grayson McClure Badgley
IPC: G06Q10/02
Abstract: A system for dispatching a driver comprises an interface and a processor. The interface is configured to receive a ride request from a rider located at a start location. The processor is configured to determine a selected driver to offer the ride request to. The system inefficiency score is reduced in the event that the selected driver accepts the request. The system inefficiency score comprises a sum over a set of drivers of an estimated time until a next passenger is picked up.
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10.发明授权公开(公告)号：US10706487B1
公开(公告)日：2020-07-07
申请号：US15810028
申请日：2017-11-11
Applicant: Lyft, Inc.
Inventor： Ricky Chachra , Tzu-Hsin Chiao , Ashivni Shekhawat , Christopher Sholley , Jerome Hong-Phat Thai , Adriel Frederick
Abstract: This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.
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