System and method for providing location and navigation services using positive train control data

• US 10,040,464 B2
• Filed: 10/21/2016
• Issued: 08/07/2018
• Est. Priority Date: 10/21/2016
• Status: Active Grant

• Current Assignee: Westinghouse Air Brake Technologies Corporation
• Original Assignee: Westinghouse Air Brake Technologies Corporation
• Inventors: Abrosimov, Igor, Boyle, Dennis M.
• Primary Examiner(s): Camby, Richard M
• Application Number:
  US15/331,050
• Publication Number:
  US 20180111633A1
• Time in Patent Office: 655 Days
• CPC Class Codes: B61L 25/021 Measuring and recording of train speed
• CPC Class Codes: B61L 25/025 Absolute localisation, e.g. providing geodetic coordinates
• CPC Class Codes: B61L 27/10 Operations, e.g. scheduling or time tables
• CPC Class Codes: B61L 27/16 Trackside optimisation of vehicle or train operation
• CPC Class Codes: B61L 27/40 Handling position reports or trackside vehicle data
• CPC Class Codes: G01C 21/3492 employing speed data or traffic data, e.g. real-time or historical traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968

Abstract

A method includes generating PTC data for at least a portion of a track network, the PTC data comprising real-time train data generated by an on-board system of a train traveling in the track network, the real-time train data comprising a train speed and a train location, generating predictive train location data based at least partially on the PTC data, the predictive train location data comprising at least one upcoming location of the train associated with at least one time; and transmitting at least a portion of the predictive train location data to at least one navigation service in response to receiving a request, the request comprising at least one of the following: a route, an intersection, a rail crossing, geographic coordinates, or any combination thereof.

Claims

1. A method for providing location and navigation services in a Positive Train Control (PTC) network, comprising:

generating PTC data for at least a portion of a track network, the PTC data comprising real-time train data generated by an on-board system of a train traveling in the track network, the real-time train data comprising a train speed and a train location;

generating predictive train location data based at least partially on the PTC data, the predictive train location data comprising at least one upcoming location of the train associated with at least one time; and

transmitting at least a portion of the predictive train location data to at least one navigation service in response to receiving a request, the request comprising at least one of the following;

an intersection, a rail crossing, geographic coordinates, or any combination thereof.

2. The method of claim 1, further comprising generating a route for a road vehicle from a first location to a second location based at least partially on the predictive train location data.

3. The method of claim 2, wherein generating the route for the road vehicle from the first location to the second location comprises:

determining at least one probable congestion of at least one road location having a rail crossing based on a predicted position of the train at a specified time; and

determining the route such that the route avoids the at least one road location at the specified time.

4. The method of claim 1, further comprising automatically formatting at least one of the predictive train location data and the PTC data for the at least one navigation service.

5. The method of claim 4, wherein formatting the at least one of the predictive train location data and the PTC data for the at least one navigation service comprises generating an application programming interface configured to allow the at least one navigation service to selectively access or query the at least one of the predictive train location data and the PTC data based on at least one of a location and a time.

6. The method of claim 1, wherein the PTC data further comprises a train length, and wherein the predictive train location data is generated based at least partially on the train length, the train speed, and the train location.

7. The method of claim 1, wherein the predictive train location data is generated based at least partially on historical PTC data.

8. The method of claim 1, wherein the PTC data comprises at least one of the following:

movement authority data for the track network, wayside device data from at least one wayside device in the track network, rail crossing data from at least one rail crossing in the track network, or any combination thereof.

9. The method of claim 1, wherein generating the PTC data comprises collecting, by a PTC server, real-time train data from the train and other PTC data from at least one of the following:

another train in the track network, central dispatch, a movement authority, a switch, a wayside device, or any combination thereof.

10. A system for providing location and navigation services in a Positive Train Control (PTC) network, comprising:

a back office system comprising a remote server, the remote server programmed or configured to;

(i) generate PTC data for at least a portion of the track network, the PTC data comprising real-time train data generated by an on-board system of a train traveling in the track network, the real-time train data comprising a train speed and a train location;

(ii) generate predictive train location data based at least partially on the PTC data, the predictive train location data comprising at least one upcoming location of the train associated with at least one time; and

(iii) transmit at least a portion of the predictive train location data to at least one navigation service in response to receiving a request, the request comprising at least one of the following;

an intersection, a rail crossing, geographic coordinates, or any combination thereof.

11. The system of claim 10, further comprising:

the on-board system of the train, the on-board system arranged in at least one locomotive of the train and comprising at least one processor programmed or configured to;

(i) generate the real-time train data while the train is traveling in the track network; and

(ii) transmit the real-time train data to the remote server.

12. The system of claim 10, wherein the remote server is further programmed or configured to automatically format at least one of the predictive train location data and the PTC data for the at least one navigation service.

13. The system of claim 12, wherein the remote server formats the at least one of the predictive train location data and the PTC data for the at least one navigation service by generating an application programming interface configured to allow the at least one third-party navigation service to selectively access or query the at least one of the predictive train location data and the PTC data based on at least one of a location and a time.

14. The system of claim 10, wherein the PTC data further comprises a train length, and wherein the predictive train location data is generated based at least partially on the train length, the train speed, and the train location.

15. The system of claim 10, wherein the predictive train location data is generated based at least partially on historical PTC data.

16. The system of claim 10, wherein the PTC data comprises at least one of the following:

movement authority data for the track network, wayside device data from at least one wayside device in the track network, rail crossing data from at least one rail crossing in the track network, or any combination thereof.

17. The system of claim 10, wherein the remote server generates the PTC data comprises collecting, by a PTC server, real-time train data from the train and other PTC data from at least one of the following:

another train in the track network, central dispatch, a movement authority, a switch, a wayside device, or any combination thereof.

18. A computer program product for providing location and navigation services in a Positive Train Control (PTC) network, comprising at least one non-transitory computer-readable medium comprising program instructions that, when executed by at least one processor of at least one remote server, causes the at least one remote server to:

generate PTC data for at least a portion of a track network, the PTC data comprising real-time train data generated by an on-board system of a train traveling in the track network, the real-time train data comprising a train speed and a train location;

generate predictive train location data based at least partially on the PTC data, the predictive train location data comprising at least one upcoming location of the train associated with at least one time; and

transmit at least a portion of the predictive train location data to at least one navigation service in response to receiving a request, the request comprising at least one of the following;

an intersection, a rail crossing, geographic coordinates, or any combination thereof.

19. The computer program product of claim 18, wherein the program instructions, when executed by the at least one processor, further cause the at least one remote server to automatically format at least one of the predictive train location data and the PTC data for the at least one navigation service by generating an application programming interface configured to allow the at least one navigation service to selectively access or query the at least one of the predictive train location data and the PTC data based on at least one of a location and a time.

20. The computer program product of claim 18, wherein the PTC data further comprises a train length, and wherein the predictive train location data is generated based at least partially on the train length, the train speed, and the train location.