CA2454739A1 - Multi-level railway operations optimization - Google Patents
Multi-level railway operations optimization Download PDFInfo
- Publication number
- CA2454739A1 CA2454739A1 CA002454739A CA2454739A CA2454739A1 CA 2454739 A1 CA2454739 A1 CA 2454739A1 CA 002454739 A CA002454739 A CA 002454739A CA 2454739 A CA2454739 A CA 2454739A CA 2454739 A1 CA2454739 A1 CA 2454739A1
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- level
- data
- optimizing
- operational
- optimization parameter
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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- 238000005457 optimization Methods 0.000 title claims abstract 18
- 230000003137 locomotive effect Effects 0.000 claims abstract 10
- 238000000034 method Methods 0.000 claims 6
- 239000000446 fuel Substances 0.000 claims 3
- 238000007726 management method Methods 0.000 claims 3
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/10—Operations, e.g. scheduling or time tables
- B61L27/16—Trackside optimisation of vehicle or train operation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L2205/00—Communication or navigation systems for railway traffic
- B61L2205/04—Satellite based navigation systems, e.g. global positioning system [GPS]
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Train Traffic Observation, Control, And Security (AREA)
Abstract
A multi-level system for management of a railway system (50) and its operational components in which the railway system (50) has a first level configured to optimize an operation within the first level that includes first level operational parameters which define operational characteristics and data of the first level, and a second level configured to optimize an operation within the second level that includes second level operational parameters which define the operational characteristic and data of the second level. The first level provides the second level with the first level operational parameters, and the second level provides the first level with the second level operational parameters, such that optimizing the operation within the first level and optimizing the operation within the second level are each a function of optimizing a system optimization parameter. The levels can include a railroad infrastructure level 100, a track network level (200), a train level (300), a consist level (400) and a locomotive level (500).
Claims (13)
1. A multi-level system for management of a railway system (50) and its operational components, the railway system (50) comprising:
a first processor (202) associated with a railroad infrastructure level (100) configured to control an operation of a railroad infrastructure operating within the railroad infrastructure level (100), a second processor (502) associated with a railroad track network level (200) configured to control an operation of a railroad track network within the railroad track network level (200), said railroad infrastructure level ( 100) containing one or more railroad track network levels (200);
a third processor (1002) associated with a train level (300) configured to control an operation of a train operating within the train level (300), said railroad track network level (200) containing one or more train levels (300);
a fourth processor (1202) associated with a consist level (400) configured to control an operation of a consist of a train within the consist level (400), said train level containing one or more consist levels (400); and a fifth processor (1502) associated with a locomotive level (500) configured to control an operation of a locomotive within the locomotive level (500), said consist level (400) containing one or more locomotive levels (500);
each processor (202, 502, 1002, 1202, 1502) associated with each level (100, 200, 300, 400, 500) being configured to provide to the processor associated with at least one other level operational parameters that define operational characteristics and data related to the level with which it is associated, and each processor (202, 502, 1002, 1202, 1502) optimizing the operation within its associated level (100, 200, 300, 400, 500) and to cooperate with a processors associated with at least one other level to optimize an operation of the railway system (50) across the levels (100, 200, 300, 400, 500) of the railway system (50) based on an optimization parameter.
a first processor (202) associated with a railroad infrastructure level (100) configured to control an operation of a railroad infrastructure operating within the railroad infrastructure level (100), a second processor (502) associated with a railroad track network level (200) configured to control an operation of a railroad track network within the railroad track network level (200), said railroad infrastructure level ( 100) containing one or more railroad track network levels (200);
a third processor (1002) associated with a train level (300) configured to control an operation of a train operating within the train level (300), said railroad track network level (200) containing one or more train levels (300);
a fourth processor (1202) associated with a consist level (400) configured to control an operation of a consist of a train within the consist level (400), said train level containing one or more consist levels (400); and a fifth processor (1502) associated with a locomotive level (500) configured to control an operation of a locomotive within the locomotive level (500), said consist level (400) containing one or more locomotive levels (500);
each processor (202, 502, 1002, 1202, 1502) associated with each level (100, 200, 300, 400, 500) being configured to provide to the processor associated with at least one other level operational parameters that define operational characteristics and data related to the level with which it is associated, and each processor (202, 502, 1002, 1202, 1502) optimizing the operation within its associated level (100, 200, 300, 400, 500) and to cooperate with a processors associated with at least one other level to optimize an operation of the railway system (50) across the levels (100, 200, 300, 400, 500) of the railway system (50) based on an optimization parameter.
2. The system of claim 1 wherein the first processor (202) associated with the railroad infrastructure level (100) receives one or more of:
railroad infrastructure data (206);
railroad track network data (208); and train data (210); and controls an operation of a railroad infrastructure within the railroad infrastructure level (100) based at least in part thereon;
the second processor (502) associated with a railroad track network level (200) receives one or more of:
railroad infrastructure data (506);
railroad track network data (508); and train data (510); and controls an operation of a railroad track network within a railroad track network level (200) based at least in part thereon;
the third processor (1002) associated with a train level (300) receives one or more of:
railroad infrastructure data (1006);
railroad track network data (1008);
train data (1010); and consist data (1012); and controls an operation of a train within a train level (300) based at bast in part thereon;
the fourth processor (1202) associated with a consist level (400) receives one or more of:
train data (1210);
consist data (1212); and locomotive data (1214); and controls an operation of a consist within a consist level (400) based at least in part thereon;
the fifth processor (1502) associated with a locomotive level (500) receives one or more of:
consist level data (1512); and locomotive data (1514); and controls an operation of a locomotive within the locomotive level (500) based at least in part thereon.
railroad infrastructure data (206);
railroad track network data (208); and train data (210); and controls an operation of a railroad infrastructure within the railroad infrastructure level (100) based at least in part thereon;
the second processor (502) associated with a railroad track network level (200) receives one or more of:
railroad infrastructure data (506);
railroad track network data (508); and train data (510); and controls an operation of a railroad track network within a railroad track network level (200) based at least in part thereon;
the third processor (1002) associated with a train level (300) receives one or more of:
railroad infrastructure data (1006);
railroad track network data (1008);
train data (1010); and consist data (1012); and controls an operation of a train within a train level (300) based at bast in part thereon;
the fourth processor (1202) associated with a consist level (400) receives one or more of:
train data (1210);
consist data (1212); and locomotive data (1214); and controls an operation of a consist within a consist level (400) based at least in part thereon;
the fifth processor (1502) associated with a locomotive level (500) receives one or more of:
consist level data (1512); and locomotive data (1514); and controls an operation of a locomotive within the locomotive level (500) based at least in part thereon.
3. A multi-level system for management of a railway system (50) and its operational components, the railway system (50) comprising:
a first level configured to optimize an operation within the first level, said first level including first level operational parameters defining operational characteristics and data of the first level; and a second level configured to optimize an operation within the second level, said second level including second level operational parameters defining the operational characteristic and data of the second level;
said first level providing the second level with the first level operational parameters, and the second level providing the first level with the second level operational parameters; and said optimizing the operation within the first level and said optimizing the operation within the second level each being a function of optimizing a system optimization parameter.
a first level configured to optimize an operation within the first level, said first level including first level operational parameters defining operational characteristics and data of the first level; and a second level configured to optimize an operation within the second level, said second level including second level operational parameters defining the operational characteristic and data of the second level;
said first level providing the second level with the first level operational parameters, and the second level providing the first level with the second level operational parameters; and said optimizing the operation within the first level and said optimizing the operation within the second level each being a function of optimizing a system optimization parameter.
4. The system of claim 3 wherein the system optimization parameter is indicative of one or more of:
fuel usage;
an economic valuation of the time of delivery of cargo carried in the railway system;
predetermined changes in conditions;
a rate of change in conditions; and a rate of change in one condition with respect to another.
fuel usage;
an economic valuation of the time of delivery of cargo carried in the railway system;
predetermined changes in conditions;
a rate of change in conditions; and a rate of change in one condition with respect to another.
5. The system of claim 3 wherein optimizing the operation within the first level and optimizing the operation within the second level includes identifying key operating constraints and data at one of the first and second level and communication these constraints and data to another of the first and second level to optimize performance at the another level.
6. A method for optimizing an operation of a railway system (50), said railway system having a first level and a second level, the method comprising:
communicating from the first level to the second level a first level operational parameter that defines an operational characteristic of the first level;
communicating from the second level to the first level a second level operational parameter that defines an operational characteristic of the second level;
optimizing a system operation across a combination of the first level and the second level based on a system optimization parameter;
optimizing an operation within the first level based on a first level optimization parameter and based in part on the system optimization parameter; and optimizing an operation within the second level based on a second level optimization parameter and based in part on the system optimization parameter.
communicating from the first level to the second level a first level operational parameter that defines an operational characteristic of the first level;
communicating from the second level to the first level a second level operational parameter that defines an operational characteristic of the second level;
optimizing a system operation across a combination of the first level and the second level based on a system optimization parameter;
optimizing an operation within the first level based on a first level optimization parameter and based in part on the system optimization parameter; and optimizing an operation within the second level based on a second level optimization parameter and based in part on the system optimization parameter.
7. The method of claim 6 wherein the first level optimization parameter, the second level optimization parameter and the system optimization parameter are a common optimization parameter.
8. The method of claim 6 wherein the common optimization parameter is indicative of one or more of:
fuel usage;
an economic valuation of the time of delivery of cargo carried in the railway system;
predetermined changes in conditions;
a rate of change in conditions; and a rate of change in one condition with respect to another.
fuel usage;
an economic valuation of the time of delivery of cargo carried in the railway system;
predetermined changes in conditions;
a rate of change in conditions; and a rate of change in one condition with respect to another.
9. The method of claim 6 wherein the operational parameters are provided from one level to the other at predetermined intervals.
10. The method of claim 6 wherein the step of optimizing a system operation across a combination of the first level and the second level based on a system optimization parameter includes identifying key operating constraints and data at one of the first and second level and communicating these constraints and data to another of the first and second level to optimize performance at the another level.
11. A multi-level system for management of a railway system and its operational components, the railway system comprising:
a first level including first level operational parameters defining operational characteristics and data of the first level; and a second level including second level operational parameters configured to optimize an operation within the second level and wherein the second level operational parameters are indicative of changes in operational characteristics and data of the second level ; and said second level providing the first level with optimized second level operational parameters.
a first level including first level operational parameters defining operational characteristics and data of the first level; and a second level including second level operational parameters configured to optimize an operation within the second level and wherein the second level operational parameters are indicative of changes in operational characteristics and data of the second level ; and said second level providing the first level with optimized second level operational parameters.
12. The system of claim 11 wherein said optimizing the operation within the second level is a function of optimizing a railway system optimization parameter.
13. The system of claim 12 wherein the system optimization parameter is indicative of one or more of:
a change in fuel usage;
a change in an economic valuation of the time of delivery of cargo carried in the railway system;
a rate of change in second level operational parameters;
a rate of change with respect to time; and a rate of change in one condition with respect to another.
a change in fuel usage;
a change in an economic valuation of the time of delivery of cargo carried in the railway system;
a rate of change in second level operational parameters;
a rate of change with respect to time; and a rate of change in one condition with respect to another.
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US43823403P | 2003-01-06 | 2003-01-06 | |
| US60/438,234 | 2003-01-06 | ||
| US10/736,089 | 2003-12-15 | ||
| US10/736,089 US8538611B2 (en) | 2003-01-06 | 2003-12-15 | Multi-level railway operations optimization system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CA2454739A1 true CA2454739A1 (en) | 2004-07-06 |
| CA2454739C CA2454739C (en) | 2011-09-13 |
Family
ID=32685512
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA2454739A Expired - Lifetime CA2454739C (en) | 2003-01-06 | 2004-01-05 | Multi-level railway operations optimization |
Country Status (1)
| Country | Link |
|---|---|
| CA (1) | CA2454739C (en) |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7457691B2 (en) | 2005-12-30 | 2008-11-25 | Canadian National Railway Company | Method and system for computing rail car switching solutions in a switchyard based on expected switching time |
| US7546185B2 (en) | 2005-12-30 | 2009-06-09 | Canadian National Railway Company | System and method for computing railcar switching solutions using an available space search logic assigning different orders of preference to classification tracks |
| US7565228B2 (en) | 2005-12-30 | 2009-07-21 | Canadian National Railway Company | System and method for computing railcar switching solutions in a switchyard using empty car substitution logic |
| US7596433B2 (en) | 2005-12-30 | 2009-09-29 | Canadian National Railway Company | System and method for computing rail car switching solutions in a switchyard with partially occupied classification track selection logic |
| US7657348B2 (en) | 2005-12-30 | 2010-02-02 | Canadian National Railway Company | System and method for computing rail car switching solutions using dynamic classification track allocation |
| US7742849B2 (en) | 2005-12-30 | 2010-06-22 | Canadian National Railway Company | System and method for computing car switching solutions in a switchyard using car ETA as a factor |
| US7742848B2 (en) | 2005-12-30 | 2010-06-22 | Canadian National Railway Company | System and method for computing rail car switching solutions in a switchyard including logic to re-switch cars for block pull time |
| US7747362B2 (en) | 2005-12-30 | 2010-06-29 | Canadian National Railway Company | System and method for computing rail car switching solutions by assessing space availability in a classification track on the basis of block pull time |
| US7751952B2 (en) | 2005-12-30 | 2010-07-06 | Canadian National Railway Company | System and method for computing rail car switching solutions in a switchyard including logic to re-switch cars for arrival rate |
| US7792616B2 (en) | 2005-12-30 | 2010-09-07 | Canadian National Railway Company | System and method for computing rail car switching solutions in a switchyard including logic to re-switch cars for block size |
| US7818101B2 (en) | 2005-12-30 | 2010-10-19 | Canadian National Railway Company | System and method for computing rail car switching solutions in a switchyard using an iterative method |
| US8239079B2 (en) | 2005-12-30 | 2012-08-07 | Canadian National Railway Company | System and method for computing rail car switching sequence in a switchyard |
| US8332086B2 (en) | 2005-12-30 | 2012-12-11 | Canadian National Railway Company | System and method for forecasting the composition of an outbound train in a switchyard |
| EP2064106B1 (en) | 2006-09-18 | 2016-06-15 | Bombardier Transportation GmbH | Diagnostic system and method for monitoring a rail system |
| CN118710479A (en) * | 2024-08-27 | 2024-09-27 | 滴滴优点科技(深圳)有限公司 | Intelligent bus management cloud platform based on multi-source data analysis |
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|---|---|---|---|---|
| US9849807B2 (en) | 2012-12-28 | 2017-12-26 | General Electric Company | System and method for determining operational group assignments of vehicles in a vehicle system |
| US9453735B2 (en) | 2012-12-28 | 2016-09-27 | General Electric Company | System and method for determining operational group assignments of vehicles in a vehicle system |
| CN107054409A (en) * | 2017-05-04 | 2017-08-18 | 中车株洲电力机车有限公司 | A kind of Train Control Network and its control method |
-
2004
- 2004-01-05 CA CA2454739A patent/CA2454739C/en not_active Expired - Lifetime
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7457691B2 (en) | 2005-12-30 | 2008-11-25 | Canadian National Railway Company | Method and system for computing rail car switching solutions in a switchyard based on expected switching time |
| US7546185B2 (en) | 2005-12-30 | 2009-06-09 | Canadian National Railway Company | System and method for computing railcar switching solutions using an available space search logic assigning different orders of preference to classification tracks |
| US7565228B2 (en) | 2005-12-30 | 2009-07-21 | Canadian National Railway Company | System and method for computing railcar switching solutions in a switchyard using empty car substitution logic |
| US7596433B2 (en) | 2005-12-30 | 2009-09-29 | Canadian National Railway Company | System and method for computing rail car switching solutions in a switchyard with partially occupied classification track selection logic |
| US7657348B2 (en) | 2005-12-30 | 2010-02-02 | Canadian National Railway Company | System and method for computing rail car switching solutions using dynamic classification track allocation |
| US7742849B2 (en) | 2005-12-30 | 2010-06-22 | Canadian National Railway Company | System and method for computing car switching solutions in a switchyard using car ETA as a factor |
| US7742848B2 (en) | 2005-12-30 | 2010-06-22 | Canadian National Railway Company | System and method for computing rail car switching solutions in a switchyard including logic to re-switch cars for block pull time |
| US7747362B2 (en) | 2005-12-30 | 2010-06-29 | Canadian National Railway Company | System and method for computing rail car switching solutions by assessing space availability in a classification track on the basis of block pull time |
| US7751952B2 (en) | 2005-12-30 | 2010-07-06 | Canadian National Railway Company | System and method for computing rail car switching solutions in a switchyard including logic to re-switch cars for arrival rate |
| US7792616B2 (en) | 2005-12-30 | 2010-09-07 | Canadian National Railway Company | System and method for computing rail car switching solutions in a switchyard including logic to re-switch cars for block size |
| US7818101B2 (en) | 2005-12-30 | 2010-10-19 | Canadian National Railway Company | System and method for computing rail car switching solutions in a switchyard using an iterative method |
| US7831342B2 (en) | 2005-12-30 | 2010-11-09 | Canadian National Railway Company | System and method for computing railcar switching solutions in a switchyard using empty car substitution logic |
| US7885736B2 (en) | 2005-12-30 | 2011-02-08 | Canadian National Railway Company | System and method for computing rail car switching solutions in a switchyard including logic to re-switch cars for block pull time |
| US7983806B2 (en) | 2005-12-30 | 2011-07-19 | Canadian National Railway Company | System and method for computing car switching solutions in a switchyard using car ETA as a factor |
| US8019497B2 (en) | 2005-12-30 | 2011-09-13 | Canadian National Railway Company | System and method for computing rail car switching solutions using dynamic classification track allocation |
| US8239079B2 (en) | 2005-12-30 | 2012-08-07 | Canadian National Railway Company | System and method for computing rail car switching sequence in a switchyard |
| US8332086B2 (en) | 2005-12-30 | 2012-12-11 | Canadian National Railway Company | System and method for forecasting the composition of an outbound train in a switchyard |
| EP2064106B1 (en) | 2006-09-18 | 2016-06-15 | Bombardier Transportation GmbH | Diagnostic system and method for monitoring a rail system |
| CN118710479A (en) * | 2024-08-27 | 2024-09-27 | 滴滴优点科技(深圳)有限公司 | Intelligent bus management cloud platform based on multi-source data analysis |
Also Published As
| Publication number | Publication date |
|---|---|
| CA2454739C (en) | 2011-09-13 |
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| Date | Code | Title | Description |
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| EEER | Examination request | ||
| MKEX | Expiry |
Effective date: 20240105 |