Lyft, Inc.

Michael Kae-Uei Chang

Demitri Nava

Janie Jia Gu

Christopher John Selin

Guy-Baptiste Richard De Capele d'Hautpoul

David Ikuye

Keshav Puranmalka

David Florian Kayode Ikuye

Dan Xiaoyu Yu

Conglei Zhang

Daniel Yu

The present disclosure relates to systems, non-transitory computer readable media, and methods that provide graphical user interfaces comprising future transportation options with varying time windows at different transportation values and dynamically analyze the time windows to identify provider devices to fulfill transportation requests based on provider device efficiency metrics. For instance, the disclosed systems can delay selection of a provider device within a future time window utilizing a dynamic threshold provider device efficiency metric. For instance, the disclosed systems can analyze historical distributions of provider devices to generate a transition probability matrix that is utilized to analyze current provider devices and determine a threshold provider device efficiency metric that reflects the likelihood of identifying more efficient matches in the future. The disclosed systems can compare the determined threshold to anticipated efficiency metrics for individual provider devices to generate matches for digital transportation requests.

Utilizing provider device efficiency metrics to select a provider device for a future time window

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

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San Francisco, CA, United States of America

Michael Kae-Uei Chang