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. 07, 2025

Filed:

Mar. 03, 2021
Applicant:

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

Inventors:

Joseph Robert Brannan, Bloomington, IL (US);

Brian N. Harvey, Bloomington, IL (US);

Darwin Gene Beachy, Hopedale, IL (US);

Matthew Eric Riley, Sr., Heyworth, IL (US);

Benjamin Joel Tucker, Le Roy, IL (US);

Michael Aaron Myers, Heyworth, IL (US);

Ryan Michael Gross, Normal, IL (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 40/09 (2012.01); B60W 30/08 (2012.01); G06N 20/00 (2019.01); G06V 20/56 (2022.01); H04W 4/021 (2018.01); H04W 4/40 (2018.01);
U.S. Cl.
CPC ...
B60W 40/09 (2013.01); B60W 30/08 (2013.01); G06N 20/00 (2019.01); G06V 20/56 (2022.01); H04W 4/021 (2013.01); H04W 4/40 (2018.02);
Abstract

A data analytics computing device for generating refined risk models responsive to vehicle-based telematics data is configured to receive geolocation data and telematics data associated with a plurality of vehicles. The geolocation data is captured at a location sensor of a vehicle computing device and representative of a location of the vehicle, and the telematics data is captured at a plurality of sensors of at least one of the vehicle or the vehicle computing device and representative of movement of the vehicle. The plurality of vehicles is associated with a geographic area. The data analytics computing device is also configured to apply machine-learning techniques to the geolocation data and the telematics data to define standard driving behavior within the geographic area, and generate driving behavior risk models for the geographic area based upon the standard driving behavior.


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