A train control system using machine learning for development of train control strategies includes a machine learning engine. The machine learning engine receives training data from a data acquisition hub, including a plurality of first input conditions and a plurality of first response maneuvers associated with the first input conditions. The machine learning engine trains a learning system using the training data to generate a second response maneuver based on a second input condition using a learning function including at least one learning parameter. Training the learning system includes providing the training data as an input to the learning function, the learning function being configured to use the at least one learning parameter to generate an output based on the input, causing the learning function to generate the output based on the input, comparing the output to the plurality of first response maneuvers to determine a difference between the output and the plurality of first response maneuvers, and modifying the at least one learning parameter to decrease the difference responsive to the difference being greater than a threshold difference.
MACHINE LEARNING BASED TRAIN CONTROL
2021-03-11
Patent
Electronic Resource
English
MAINTENANCE OF DISTRIBUTED TRAIN CONTROL SYSTEMS USING MACHINE LEARNING
European Patent Office | 2021
|