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公开(公告)号:US20230289857A1
公开(公告)日:2023-09-14
申请号:US18193242
申请日:2023-03-30
Applicant: Lyft, Inc.
Inventor: Helen Wai-Quen Bentley , Aidan Church , John Torres Fremlin , Matthew Lawrence Green , Mayank Gulati , Yilei Li , Demitri Nava , Mengqi Niu , Daniel Allen Sullivan , Garrett van Ryzin , Rachel Marie Wasko , Shashi Kant Sharma
CPC classification number: G06Q30/0284 , G01C21/343 , G01C21/3438 , G01C21/3461 , G01C21/3484 , G01C21/3617 , G06F9/4418 , G06F16/29 , G06Q10/02 , G06Q10/047 , G06Q10/063 , G06Q50/30 , G08G1/202 , H04W4/021
Abstract: The disclosed systems can regulate access to an online mode for a dynamic transportation matching system. For example, based on a provider efficiency parameter associated with the dynamic transportation matching system, the disclosed systems can prevent a transportation provider device from switching to the online mode within a geographic area. In addition, the disclosed systems can detect a pattern of behavior and, based on a comparison between the pattern of behavior and a behavioral threshold, cause a transportation provider device to switch from the online mode to an offline mode. Further, the disclosed systems can provide a map interface that indicates where a transportation provider device can switch from the offline mode to the online mode. Additionally, the disclosed systems can determine priorities associated with transportation provider devices and, based on the prioritization, selectively allow the transportation provider devices to switch from the offline mode to the online mode.
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12.
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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14.
公开(公告)号:US12062288B2
公开(公告)日:2024-08-13
申请号:US16539850
申请日:2019-08-13
Applicant: Lyft, Inc.
Inventor: John Torres Fremlin , Michael Sasha Frumin , Dorian Anthony Goldman , Man Geen Harold Li , Akshay Ramesh Patil , David Halsted Riege , Kevin Stewart , Alexander Michael Weinstein
CPC classification number: G08G1/202 , G01C21/3438 , G01C21/3461 , G06F17/18
Abstract: This disclosure describes a pickup location determination system that determines a pickup location for a received transportation request by filtering out door points based on various factors and by utilizing a pickup location model to select a pickup location from the filtered door points. For example, the disclosed systems generate door points relative to intersection points within a request radius of a request location associated with a received transportation request. The disclosed systems generate potential pickup locations by filtering out door points that are impractical and/or inefficient based on proximity to other door points, locations relative to venues, locations relative to side streets, and/or locations between parallel road segments (e.g., medians). The disclosed systems further utilize a pickup location model to select a pickup location from the potential pickup locations.
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