Lyft, Inc.

Demitri Nava

Garrett Van Ryzin

John Torres Fremlin

Mayank Gulati

Matthew Lawrence Green

Shashi Kant Sharma

Mengqi Niu

Helen Wai-Quen Bentley

Daniel Allen Sullivan

Aidan Church

Rachel Marie Wasko

Yilei Li

Janie Jia Gu

Christopher John Selin

Guy-Baptiste Richard De Capele d'Hautpoul

Xabier Azagirre Lekuona

David Ikuye

Michael Kae-Uei Chang

Sebastien Jean Francois Martin

Daniel Yu

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.

Dynamically adjusting transportation provider pool size

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.

Dispatching provider devices utilizing multi-outcome transportation-value metrics and dynamic provider device modes

The disclosed computer-implemented method may include (i) receiving, by a dynamic transportation matching system, a request for transportation between initial waypoints, (ii) calculating, by the dynamic transportation matching system, a value metric for an initial driving route between the initial waypoints (iii) calculating a value metric for a walk-enabled driving route that comprises at least one alternate waypoint that is within a predetermined walking range of one of the initial waypoints, and (iv) improving, by the dynamic transportation matching system, a value of fulfilling the request for transportation by determining that a difference between the value metric of the walk-enabled driving route and the value metric of the initial driving route satisfies a walking-value threshold and selecting, based on the determination that the difference satisfies the walking-value threshold, the walk-enabled driving route for fulfilling the request for transportation. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for selecting improved routes for fulfilling transportation requests

Growing community of inventors

New York, NY, United States of America

Demitri Nava