公开(公告)号：US12195067B2

公开(公告)日：2025-01-14

申请号：US18081022

申请日：2022-12-14

Applicant: Progress Rail Services Corporation

Inventor： Keith Wesley Wait ,  Marcos Blanco Fernandes

IPC: B61L27/60 ,  B61C17/12 ,  B61L27/04 ,  B61L27/40

Abstract: A method of controlling one or more locomotives in a train includes using a machine learning engine and a virtual system modeling engine to model and classify sections of track along which the train is traveling according to the tractive power needs for the train traversing each section of track as a function of an effective weight profile for the train in the section and an effective friction profile for the train in the section of track. The method includes using the results of the effective weight profile, the effective friction profile, and an effective power availability profile to train the virtual system modeling engine using the machine learning engine to model designated areas of the track where the total tractive effort force or dynamic braking force applied by all of the locomotives in the train is less than a tractive effort force or dynamic braking force, respectively, that can be provided by a subset of the available locomotives in the train.

公开(公告)号：US20240227884A1

公开(公告)日：2024-07-11

申请号：US18094925

申请日：2023-01-09

Applicant: Progress Rail Services Corporation

Inventor： Colby Smith Bradley ,  Sammy Akif ,  Konan Thomason ,  Marcos Blanco Fernandes

IPC: B61L15/00 ,  G06T11/20

CPC classification number: B61L15/009 ,  B61L15/0018 ,  B61L15/0072 ,  G06T11/206

Abstract: Methods and systems implement an output interface of a display computing system to display a visualization of predictive output of an onboard computing system of a train. A display computing system obtains, from an onboard predictive control system of a train traveling along a rail from a departure to a destination, predicted speeds which the predictive control system uses to preemptively adjust control signals sent by an onboard train control system of the train. The display computing system provides a visualization of the predicted speeds obtained by the predictive control system.

公开(公告)号：US12269521B2

公开(公告)日：2025-04-08

申请号：US18070398

申请日：2022-11-28

Applicant: Progress Rail Services Corporation

Inventor： Sammy Akif ,  Sidarta Fornari Beltramin ,  Marcos Blanco Fernandes ,  Joseph M White

IPC: B61L27/04 ,  B60L50/10 ,  B60L50/60 ,  B61C3/02 ,  B61C7/04

Abstract: A system includes one or more processors and memory storing processor-executable instructions that cause the one or more processors to perform operations. The operations include generating a driving strategy for a traveling route of a train based on saved data in the system, the train comprising at least one diesel-electric locomotive (DEL) and at least one battery-electric locomotive (BEL); operating the train according to the driving strategy; receiving update data; revising the driving strategy based on the saved data and the update data including: determining an amount of energy for the train to traverse a segment of the traveling route based on the driving strategy and the update data, and determining a distribution of the amount of energy between the at least one DEL and the at least one BEL based on the driving strategy and the update data; and operating the train according to the revised driving strategy.

公开(公告)号：US11919552B2

公开(公告)日：2024-03-05

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: B61L27/40 ,  B61L27/04 ,  B61L27/20 ,  B61L27/70

CPC classification number: B61L27/40 ,  B61L27/04 ,  B61L27/20 ,  B61L27/70 ,  B61L2201/00

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.

公开(公告)号：US20240199101A1

公开(公告)日：2024-06-20

申请号：US18081022

申请日：2022-12-14

Applicant: Progress Rail Services Corporation

Inventor： Keith Wesley Wait ,  Marcos Blanco Fernandes

IPC: B61L27/60 ,  B61C17/12 ,  B61L27/04 ,  B61L27/40

CPC classification number: B61L27/60 ,  B61C17/12 ,  B61L27/04 ,  B61L27/40

Abstract: A method of controlling one or more locomotives in a train includes using a machine learning engine and a virtual system modeling engine to model and classify sections of track along which the train is traveling according to the tractive power needs for the train traversing each section of track as a function of an effective weight profile for the train in the section and an effective friction profile for the train in the section of track. The method includes using the results of the effective weight profile, the effective friction profile, and an effective power availability profile to train the virtual system modeling engine using the machine learning engine to model designated areas of the track where the total tractive effort force or dynamic braking force applied by all of the locomotives in the train is less than a tractive effort force or dynamic braking force, respectively, that can be provided by a subset of the available locomotives in the train.

公开(公告)号：US20240174276A1

公开(公告)日：2024-05-30

申请号：US18070398

申请日：2022-11-28

Applicant: Progress Rail Services Corporation

Inventor： Sammy Akif ,  Sidarta Fornari Beltramin ,  Marcos Blanco Fernandes ,  Joseph M White

IPC: B61L27/04 ,  B60L50/10 ,  B60L50/60 ,  B61C3/02 ,  B61C7/04

CPC classification number: B61L27/04 ,  B60L50/10 ,  B60L50/60 ,  B61C3/02 ,  B61C7/04 ,  B60L2200/26 ,  B61L2201/00

Abstract: A system includes one or more processors and memory storing processor-executable instructions that cause the one or more processors to perform operations. The operations include generating a driving strategy for a traveling route of a train based on saved data in the system, the train comprising at least one diesel-electric locomotive (DEL) and at least one battery-electric locomotive (BEL); operating the train according to the driving strategy; receiving update data; revising the driving strategy based on the saved data and the update data including: determining an amount of energy for the train to traverse a segment of the traveling route based on the driving strategy and the update data, and determining a distribution of the amount of energy between the at least one DEL and the at least one BEL based on the driving strategy and the update data; and operating the train according to the revised driving strategy.