Lyft, Inc.

Jonathan Patrick O'Keefe

John Robert Tighe

Oleg Vadim Panichev

Adam Alexander Wolf

Gavin Sebastian Hurley

Leighton Kamaile Jen

Jody Metzenbaum Kelman

Rex See Chun Lam

Arkesh Jagdish Patel

Alex Collier Mazure

Joanna Mun Yee Chan

Bao Kham Chau

Janette Yuen-Sum Fong

Anthony Michael Padin

Harel Sheniak

Samuel Soffes

Ko-Ay Timmy Siauw

Dennis Li

Robert Earl Rasmusson, Jr

Alexis Weill

Jessica Yunan Chen

The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to the disclosed embodiments, the transportation matching system identifies low engagement transportation providers by analyzing information associated with the transportation providers to generate engagement levels. Furthermore, the system identifies an optimal match between a low engagement transportation provider (regardless of whether the transportation provider is online or offline) and a scheduled transportation request by utilizing attributes associated with a scheduled transportation request and attributes associated with transportation providers to generate rankings for the transportation providers. Additionally, the system provides the scheduled transportation request exclusively to a selected transportation provider based on the generated rankings.

Optimizing engagement of transportation providers

The disclosed computer-implemented method may include identifying and notifying requestors that may be candidates for a particular autonomous vehicle in order to find those candidates that may be willing or able to relax their travel constraints to match the autonomous vehicle. A request flow may involve surfacing the potential option of matching to an autonomous vehicle before setting a specific destination. For example, the request flow may involve determining that an autonomous vehicle is sufficiently near an in-session potential requestor. Before the potential requestor enters a specific destination, the request flow may present the possibility of the potential requestor being matched with the autonomous vehicle. In some examples, the request flow may then provide available drop-off locations that are compatible with the autonomous vehicle for selection by the potential requestor. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for matching transportation requestor devices with autonomous vehicles

The disclosed computer-implemented method may determine one or more characteristics of an autonomous vehicle, determine one or more characteristics of one or more road segments of a geographic area, determine at least one geographic zone for the autonomous vehicle within the geographic area based at least on the characteristics of the autonomous vehicle and the characteristics of the one or more road segments of the at least one geographic area, and match a request with the autonomous vehicle within the at least one geographic zone based at least in part on a request location and a destination location of the request being associated with the at least one geographic zone. Other methods, systems, and computer-readable media are disclosed.

Systems and methods for matching autonomous transportation provider vehicles and transportation requests in transportation management systems

Growing community of inventors

Oakland, CA, United States of America

Jonathan Patrick O'Keefe