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. 20, 2022

Filed:

Oct. 11, 2019
Applicant:

Progress Rail Services Corporation, Albertville, AL (US);

Inventors:

Bradley Howard, Ft. Worth, TX (US);

John Brand, Ft. Worth, TX (US);

Assignee:

Progress Rail Services Corporation, Albertville, AL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/07 (2006.01); B61L 15/00 (2006.01); B61L 23/34 (2006.01); B61L 25/02 (2006.01); G06N 3/08 (2006.01); G06K 9/62 (2022.01); B61L 27/20 (2022.01);
U.S. Cl.
CPC ...
B61L 15/0072 (2013.01); B61L 15/0081 (2013.01); B61L 23/34 (2013.01); B61L 25/026 (2013.01); B61L 27/20 (2022.01); G06F 11/0757 (2013.01); G06K 9/6256 (2013.01); G06K 9/6278 (2013.01); G06N 3/08 (2013.01);
Abstract

A train control system uses artificial intelligence for maintaining synchronization between centralized and distributed train control models. A machine learning engine receives training data from a data acquisition hub, a first set of output control commands from a centralized virtual system modeling engine, and a second set of output control commands from a distributed virtual system modeling engine. The machine learning engine compares the first set of output control commands and the second set of output control commands, and trains a learning system using the training data to enable the machine learning engine to safely mitigate any difference between the first and second sets of output control commands using a learning function including at least one learning parameter.


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