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:
Dec. 20, 2022

Filed:

May. 20, 2020
Applicant:

Geotab Inc., Oakville, CA;

Inventors:

Javed Siddique, York, CA;

Robert Bradley, Oakville, CA;

Xiaochen Zhang, Toronto, CA;

Assignee:

GEOTAB, INC., Oakville, CA;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01M 17/007 (2006.01); G07C 5/08 (2006.01); G06N 20/00 (2019.01); G01S 19/42 (2010.01); G08G 1/00 (2006.01); H04W 4/029 (2018.01); G06K 9/62 (2022.01); G07C 5/00 (2006.01); G07C 5/02 (2006.01);
U.S. Cl.
CPC ...
G01M 17/007 (2013.01); G01S 19/42 (2013.01); G06K 9/6267 (2013.01); G06N 20/00 (2019.01); G07C 5/008 (2013.01); G07C 5/02 (2013.01); G07C 5/08 (2013.01); G07C 5/0816 (2013.01); G07C 5/0841 (2013.01); G08G 1/20 (2013.01); G08G 1/22 (2013.01); H04W 4/029 (2018.02);
Abstract

System for automatically classifying vehicle vocation and benchmarking vehicle performance relative to other vehicles having the same vocation classification, independent of vehicle fleet groupings, industry vehicle application groupings and vehicle type groupings, is disclosed. The system includes a vehicle vocation classifier in communication with a data management system to store historical vehicle data including recurring vehicle usage data, and assign one or more predicted vocations for each vehicle based on the recurring vehicle usage data using a machine learning technique. The system also includes a benchmarking management system for grouping the historical vehicle data for vehicles of same determined predicted vocation, determining therefrom benchmarking vehicles having better performance characteristics than other vehicles of the same determined predicted vocation, and benchmarking performance of the other predicted vocation vehicles relative to the benchmarking vehicles.


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