Lyft, Inc.

Ying Jie Ding

James Nicholas De Angelis

Alexander James Hillis

Shashwati Shradha

This disclosure describes one or more embodiments of methods, non-transitory computer-readable media, and systems that utilize computing models to intelligently match provider devices and requester devices in response to event-trigger transportation requests. In particular, in one or more embodiments, the disclosed systems utilize global positioning information to monitor requester device proximity to pickup locations and generate timely transportation matches for event-trigger transportation requests. For example, the event-trigger transportation matching system matches requester devices and provider devices based on the satisfaction of a location trigger; or, conversely, the event-trigger transportation matching system delays matching processes for provider devices based on a location trigger remaining unsatisfied. Indeed, based on the requester device satisfying a threshold ETA and/or a geofence location trigger, the event-trigger transportation matching system utilizes dynamic approaches to match requester devices with provider devices.

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Brooklyn, NY, United States of America

Ying Jie Ding