US 11,720,113 B2
Vehicle control and trip planning system
Dipankar Ghosh, Melbourne, FL (US); James Glen Corry, Satellite Beach, FL (US); William Cherrick Schoonmaker, Melbourne, FL (US); and Mark Bradshaw Kraeling, Melbourne, FL (US)
Assigned to Westinghouse Air Brake Technologies Corporation, Wilmerding, PA (US)
Filed by Westinghouse Air Brake Technologies Corporation, Wilmerding, PA (US)
Filed on Dec. 18, 2019, as Appl. No. 16/719,165.
Prior Publication US 2021/0191410 A1, Jun. 24, 2021
Int. Cl. G05D 1/02 (2020.01); B61L 3/08 (2006.01); B61L 23/00 (2006.01); G05D 1/00 (2006.01); B60T 8/172 (2006.01)
CPC G05D 1/0221 (2013.01) [B60T 8/172 (2013.01); B61L 3/08 (2013.01); B61L 23/00 (2013.01); G05D 1/0061 (2013.01); G05D 1/0088 (2013.01); G05D 1/0274 (2013.01)] 20 Claims
OG exemplary drawing
 
20. A method comprising:
identifying a segment of a route where one or more first vehicle systems were operated manually instead of operated by one or more processors onboard the one or more first vehicle systems according to one or more trip plans during prior traversals of the segment by the one or more first vehicle systems;
generating a machine-learned trip plan for traversing the segment under control of the one or more processors, the machine-learned trip plan being generated based on how the one or more first vehicle systems were manually operated during the prior traversals of the segment;
replacing a portion of the one or more trip plans where the one or more first vehicle systems were operated manually instead of operated by the one or more processors with the machine-learned trip plan; and
controlling one or more second vehicle systems with one or more processors onboard the one or more second vehicle systems to traverse the segment according to the machine-learned trip plan.