Lyft, Inc.

Xabier Azagirre Lekuona

Ricky Chachra

Shashi Kant Sharma

Adriel Frederick

Chirag Chhagan Chheda

Amarnath Pundalika Pai

Jack Chun Zhou

Piyush Garg

Xianzhe Liang

Gerardo Dela Rosa Michicol

Garrett Van Ryzin

John Torres Fremlin

Demitri Nava

Sebastien Jean Francois Martin

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.

Transportation route error detection and adjustment

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

Growing community of inventors

New York, NY, United States of America

Xabier Azagirre Lekuona