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:
Sep. 19, 2017

Filed:

Jan. 29, 2016
Applicant:

State Farm Mutual Automobile Insurance Company, Bloomington, IL (US);

Inventors:

Meghan Sims Goldfarb, Champaign, IL (US);

Scott Thomas Christensen, Salem, OR (US);

Taylor Michael Thiel, Urbana, IL (US);

Anuj Dahiya, Naperville, IL (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B60W 40/09 (2012.01); G08G 1/01 (2006.01); G07B 15/06 (2011.01); G06Q 10/06 (2012.01); G07C 5/00 (2006.01); G01C 21/34 (2006.01); G06Q 10/08 (2012.01); G06Q 40/08 (2012.01); G08G 1/052 (2006.01); H04W 4/04 (2009.01); B60W 30/00 (2006.01); G05D 1/00 (2006.01); H04W 4/02 (2009.01); G02B 27/00 (2006.01); G06K 9/00 (2006.01); G02B 27/01 (2006.01); G10L 25/48 (2013.01); H04W 76/02 (2009.01);
U.S. Cl.
CPC ...
B60W 40/09 (2013.01); B60W 30/00 (2013.01); G01C 21/34 (2013.01); G02B 27/00 (2013.01); G02B 27/01 (2013.01); G02B 27/0172 (2013.01); G05D 1/00 (2013.01); G06K 9/00 (2013.01); G06Q 10/06 (2013.01); G06Q 10/08 (2013.01); G06Q 10/083 (2013.01); G06Q 40/08 (2013.01); G07B 15/06 (2013.01); G07C 5/00 (2013.01); G08G 1/0112 (2013.01); G08G 1/052 (2013.01); G10L 25/48 (2013.01); H04W 4/02 (2013.01); H04W 4/04 (2013.01); H04W 4/046 (2013.01); H04W 76/02 (2013.01);
Abstract

Historical vehicle telematics data, corresponding to trips known to have been driven by specific persons within a limited pool of potential drivers, may be processed to generate a statistical model that is customized for those persons. Once generated, the custom statistical model may be used to process vehicle telematics data from trips where it is known that the driver was one of the drivers in the pool of drivers, but the specific identify of the driver is not known. Because the statistical model is specifically optimized or designed to distinguish among the drivers in the pool, the model may be more accurate than universal driver identification models.


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