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公开(公告)号：US20240027206A1
公开(公告)日：2024-01-25
申请号：US18470893
申请日：2023-09-20
Applicant: Lyft, Inc.
Inventor： Shashi Kant Sharma , Xianzhe Liang , Ricky Chachra , Xabier Azagirre Lekuona , Gerardo dela Rosa Michicol , Piyush Garg , Adriel Frederick , Chirag Chhagan Chheda , Jack Chun Zhou , Amarnath Pundalika Pai
IPC: G01C21/34 , G06Q10/047 , G06Q50/30 , G06Q30/0283 , G06Q10/063 , G06Q10/02
CPC classification number: G01C21/3438 , G06Q10/047 , G06Q50/30 , G06Q30/0284 , G06Q10/063 , G01C21/3453 , G06Q10/02
Abstract: Methods and systems for correcting errors in transportation routes are provided. In one embodiment, a method is provided that includes receiving a transportation request that includes at least two locations. A first route prediction may be generated based on a first set of previously-completed routes associated with the at least two locations. A first predictive model may compare the first route prediction with route information associated with a second set of previously-completed routes identified based on the first route prediction. A second route prediction may be generated based on the comparison and may be sent to a mobile device for presentation to a user.
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Patent Agency Ranking
公开(公告)号：US11781874B2
公开(公告)日：2023-10-10
申请号：US16569648
申请日：2019-09-12
Applicant: Lyft, Inc.
Inventor： Shashi Kant Sharma , Xianzhe Liang , Ricky Chachra , Xabier Azagirre Lekuona , Gerardo dela Rosa Michicol , Piyush Garg , Adriel Frederick , Chirag Chhagan Chheda , Jack Chun Zhou , Amarnath Pundalika Pai
IPC: G01C21/34 , G06Q10/047 , G06Q50/30 , G06Q10/02 , G06Q30/0283 , G06Q10/063
CPC classification number: G01C21/3438 , G01C21/3453 , G06Q10/02 , G06Q10/047 , G06Q10/063 , G06Q30/0284 , G06Q50/30
Abstract: Methods and systems for correcting errors in transportation routes are provided. In one embodiment, a method is provided that includes receiving a transportation request that includes at least two locations. A first route prediction may be generated based on a first set of previously-completed routes associated with the at least two locations. A first predictive model may compare the first route prediction with route information associated with a second set of previously-completed routes identified based on the first route prediction. A second route prediction may be generated based on the comparison and may be sent to a mobile device for presentation to a user.
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公开(公告)号：US12270665B2
公开(公告)日：2025-04-08
申请号：US18470893
申请日：2023-09-20
Applicant: Lyft, Inc.
Inventor： Shashi Kant Sharma , Xianzhe Liang , Ricky Chachra , Xabier Azagirre Lekuona , Gerardo dela Rosa Michicol , Piyush Garg , Adriel Frederick , Chirag Chhagan Chheda , Jack Chun Zhou , Amarnath Pundalika Pai
IPC: G01C21/34 , G06Q10/02 , G06Q10/047 , G06Q10/063 , G06Q30/0283 , G06Q50/40
Abstract: Methods and systems for correcting errors in transportation routes are provided. In one embodiment, a method is provided that includes receiving a transportation request that includes at least two locations. A first route prediction may be generated based on a first set of previously-completed routes associated with the at least two locations. A first predictive model may compare the first route prediction with route information associated with a second set of previously-completed routes identified based on the first route prediction. A second route prediction may be generated based on the comparison and may be sent to a mobile device for presentation to a user.
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4.发明公开公开(公告)号：US20240339036A1
公开(公告)日：2024-10-10
申请号：US18740293
申请日：2024-06-11
Applicant: Lyft, Inc.
Inventor： Xabier Azagirre Lekuona , John Torres Fremlin , Sebastien Jean Francois Martin , Demitri Nava , Garrett John van Ryzin
CPC classification number: G08G1/202 , G01C21/3438 , G01C21/3605 , G08G1/207
Abstract: The present application discloses systems, methods, and computer-readable media that utilize computing devices to model multi-outcome transportation-value metrics that account for spatio-temporal trajectories across locations, times and other contextual features, and then utilize computer networks to dispatch provider devices to locations based on the multi-outcome transportation-value metrics. Moreover, the disclosed systems can utilize these multi-outcome transportation-value metrics and/or other models to manage and utilize dynamic transportation dispatch modes to more efficiently align provider devices and requestor devices across computer networks. For instance, the disclosed system can dispatch a provider device based on a discounted multi-outcome transportation-value metric. Furthermore, the disclosed system can dynamically determine prioritized dispatch mode provider device slots, fill provider device slots based on performance metrics, and then select provider device from between a prioritized transportation dispatch mode and another transportation dispatch mode based on prioritization metrics corresponding to a transportation request.
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公开(公告)号：US12062289B2
公开(公告)日：2024-08-13
申请号：US16985656
申请日：2020-08-05
Applicant: Lyft, Inc.
Inventor： Xabier Azagirre Lekuona , John Torres Fremlin , Sebastien Jean Francois Martin , Demitri Nava , Garrett John van Ryzin
CPC classification number: G08G1/202 , G01C21/3438 , G01C21/3605 , G08G1/207
Abstract: The present application discloses systems, methods, and computer-readable media that utilize computing devices to model multi-outcome transportation-value metrics that account for spatio-temporal trajectories across locations, times and other contextual features, and then utilize computer networks to dispatch provider devices to locations based on the multi-outcome transportation-value metrics. Moreover, the disclosed systems can utilize these multi-outcome transportation-value metrics and/or other models to manage and utilize dynamic transportation dispatch modes to more efficiently align provider devices and requestor devices across computer networks. For instance, the disclosed system can dispatch a provider device based on a discounted multi-outcome transportation-value metric. Furthermore, the disclosed system can dynamically determine prioritized dispatch mode provider device slots, fill provider device slots based on performance metrics, and then select provider device from between a prioritized transportation dispatch mode and another transportation dispatch mode based on prioritization metrics corresponding to a transportation request.
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公开(公告)号：US20210080269A1
公开(公告)日：2021-03-18
申请号：US16569648
申请日：2019-09-12
Applicant: Lyft, Inc.
Inventor： Shashi Kant Sharma , Xianzhe Liang , Ricky Chachra , Xabier Azagirre Lekuona , Gerardo dela Rosa Michicol , Piyush Garg , Adriel Frederick , Chirag Chhagan Chheda , Jack Chun Zhou , Amarnath Pundalika Pai
Abstract: Methods and systems for correcting errors in transportation routes are provided. In one embodiment, a method is provided that includes receiving a transportation request that includes at least two locations. A first route prediction may be generated based on a first set of previously-completed routes associated with the at least two locations. A first predictive model may compare the first route prediction with route information associated with a second set of previously-completed routes identified based on the first route prediction. A second route prediction may be generated based on the comparison and may be sent to a mobile device for presentation to a user.
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