Progress Rail Services Corporation

Frederick Gary Silcox, Jr

John William Brand

Sammy Akif

Evan Paul Sevel

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.

Growing community of inventors

Grapevine, TX, United States of America

Frederick Gary Silcox, Jr