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:
Mar. 11, 2025

Filed:

Feb. 18, 2016
Applicant:

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

Inventors:

Yimin Liu, Ann Arbor, MI (US);

Perry Robinson MacNeille, Lathrup Village, MI (US);

Erica Klampfl, Canton, MI (US);

Kevin Cooper, Troy, MI (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/00 (2006.01); G01C 21/34 (2006.01); G06Q 10/02 (2012.01); G06Q 30/0201 (2023.01); G07C 5/00 (2006.01);
U.S. Cl.
CPC ...
G01C 21/3438 (2013.01); G06Q 10/02 (2013.01); G06Q 30/0206 (2013.01); G07C 5/006 (2013.01);
Abstract

A system and method for vehicle sharing include a vehicle having sensors, a vehicle computing system (VCS) including a processor and a memory communicating with the sensor and programmed to store sensor data associated with a vehicle sharing trip, and a human-machine interface (HMI) communicating with the VCS and displaying a vehicle sharing trip cost using the sensor data associated with vehicle and/or vehicle component wear and tear incurred during the trip, trip cost savings based on the pricing method, and presenting related coupons. Vehicle sharing cost may be determined for a vehicle use, driver, route, road conditions, parking behavior, weather, etc. based on data from vehicle sensors and external sensors to detect ambient and operating conditions. Sensor data may be communicated to cloud-based networks for processing, analysis, and cost determination using models associating sensor data with component wear, driver's characteristics, historical behavior, and related maintenance and repair cost.


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