The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 23, 2024

Filed:

Mar. 19, 2018
Applicant:

Ford Motor Company, Dearborn, MI (US);

Inventors:

Jamel Seagraves, Campbell, CA (US);

Chih-Wei Tang, Mountain View, CA (US);

Sudipto Aich, Palo Alto, CA (US);

Beaudry Kock, San Francisco, CA (US);

Assignee:

Ford Global Technologies, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 50/30 (2012.01); G06Q 10/02 (2012.01); G01C 21/34 (2006.01); H04W 12/64 (2021.01); H04W 4/40 (2018.01);
U.S. Cl.
CPC ...
G06Q 50/30 (2013.01); G01C 21/3438 (2013.01); G06Q 10/02 (2013.01); H04W 12/64 (2021.01); H04W 4/40 (2018.02);
Abstract

Various approaches allow for shared transportation reservations and related actions to be made based on a user's proximity to a shared transportation station. Data is received concerning the user's computing device, such as a vehicle, a mobile device, an internet-connected device, or a cellular network-connected device. Approaches can use a variety of data formats, including image data, location coordinates, or wirelessly-transmitted data. Based on such data and a criterion such as a threshold proximity to the station, the user's account status is determined and access to same authorized. Via the account, numerous actions may be taken, including automatically triggering a transport mode reservation or return, prompting the user to reserve or return the shared transportation, or debiting the user per a fee associated with the transportation reservation. Further, neural network techniques may be applied to train a model for generating related recommendations.


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