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公开(公告)号:US11763411B1
公开(公告)日:2023-09-19
申请号:US18059071
申请日:2022-11-28
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: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: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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