公开(公告)号：US20220194440A1

公开(公告)日：2022-06-23

申请号：US17128573

申请日：2020-12-21

Applicant: PROGRESS RAIL SERVICES CORPORATION

Inventor： Sammy AKIF ,  John William BRAND ,  Evan Paul SEVEL ,  Frederick Gary SILCOX, JR.

IPC: B61L3/00 ,  B61L15/00 ,  G06N20/00

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.

公开(公告)号：US20220194446A1

公开(公告)日：2022-06-23

申请号：US17128603

申请日：2020-12-21

Applicant: PROGRESS RAIL SERVICES CORPORATION

Inventor： Sammy AKIF ,  Marcos Blanco FERNANDES ,  Joseph Maverick WHITE ,  John William BRAND

IPC: B61L27/00 ,  B61L27/04

Abstract: A train control system uses sensory inputs related to operational parameters of a train for automatically scoring or classifying particular train driving strategies implemented by a machine learning model for a particular train operating on a predefined route or route segment. The train control system includes one or more predefined rules related to one or more of a first set of the operational parameters, wherein each of the rules defines a Boolean, true or false classification based on whether a particular train driving strategy results in one or more of the first set of operational parameters complying with the rule. One or more comparative key performance indicators are related to one or more of a second set of operational parameters, and are used to rank the particular train driving strategy for the predefined route or route segment relative to a different train driving strategy for the same or comparable route or route segment.