AU2022200290B2 - Method of training control means of a rail vehicle, control means, and rail vehicle - Google Patents
Method of training control means of a rail vehicle, control means, and rail vehicle Download PDFInfo
- Publication number
- AU2022200290B2 AU2022200290B2 AU2022200290A AU2022200290A AU2022200290B2 AU 2022200290 B2 AU2022200290 B2 AU 2022200290B2 AU 2022200290 A AU2022200290 A AU 2022200290A AU 2022200290 A AU2022200290 A AU 2022200290A AU 2022200290 B2 AU2022200290 B2 AU 2022200290B2
- Authority
- AU
- Australia
- Prior art keywords
- rail vehicle
- training
- selection rule
- action selection
- controller
- Prior art date
- 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.)
- Active
Links
- 238000012549 training Methods 0.000 title claims abstract description 83
- 238000000034 method Methods 0.000 title claims abstract description 38
- 230000009471 action Effects 0.000 claims abstract description 84
- 238000010801 machine learning Methods 0.000 claims abstract description 9
- 230000006870 function Effects 0.000 claims description 16
- 230000001133 acceleration Effects 0.000 claims description 13
- 230000002787 reinforcement Effects 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 6
- 238000005265 energy consumption Methods 0.000 claims description 6
- 230000006399 behavior Effects 0.000 claims description 5
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 238000012986 modification Methods 0.000 claims description 4
- 230000004048 modification Effects 0.000 claims description 4
- 238000011161 development Methods 0.000 claims description 2
- 230000018109 developmental process Effects 0.000 claims description 2
- 238000012545 processing Methods 0.000 claims description 2
- 230000002123 temporal effect Effects 0.000 claims description 2
- 101001121408 Homo sapiens L-amino-acid oxidase Proteins 0.000 abstract description 2
- 102100026388 L-amino-acid oxidase Human genes 0.000 abstract description 2
- 230000008901 benefit Effects 0.000 description 9
- 230000006978 adaptation Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or train for signalling purposes
- B61L15/0062—On-board target speed calculation or supervision
-
- 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
- B61L27/04—Automatic systems, e.g. controlled by train; Change-over to manual control
-
- 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
- B61L27/20—Trackside control of safe travel of vehicle or train, e.g. braking curve calculation
-
- 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
- B61L27/60—Testing or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Toys (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP21154227.9A EP4035969A1 (de) | 2021-01-29 | 2021-01-29 | Verfahren zum trainieren einer steuerung für ein schienenfahrzeug, steuerung und schienenfahrzeug |
| EPEP21154227 | 2021-01-29 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| AU2022200290A1 AU2022200290A1 (en) | 2022-08-18 |
| AU2022200290B2 true AU2022200290B2 (en) | 2022-12-22 |
Family
ID=74418221
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2022200290A Active AU2022200290B2 (en) | 2021-01-29 | 2022-01-18 | Method of training control means of a rail vehicle, control means, and rail vehicle |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP4035969A1 (de) |
| CN (1) | CN114802370B (de) |
| AU (1) | AU2022200290B2 (de) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115188240B (zh) * | 2022-08-24 | 2024-05-24 | 南京中车浦镇城轨车辆有限责任公司 | 一种应用于轨道车辆的牵引制动教学操作台 |
| EP4339066A1 (de) * | 2022-09-15 | 2024-03-20 | Siemens Mobility GmbH | Dynamikmodell für ein schienenfahrzeug |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102017215802A1 (de) * | 2017-09-07 | 2019-03-07 | Siemens Aktiengesellschaft | Fahrerassistenzsystem für Schienenfahrzeuge |
| EP3552921A1 (de) * | 2018-04-13 | 2019-10-16 | Siemens Mobility GmbH | Autonome geschwindigkeitsplanung eines auf einen vorbestimmten pfad beschränkten beweglichen akteurs |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102951165B (zh) * | 2012-11-05 | 2015-04-15 | 北京交通大学 | 轨道列车节省电能运行控制方法 |
| PL3213974T3 (pl) * | 2016-03-03 | 2021-04-19 | Thales Management & Services Deutschland Gmbh | Sposób sterowania pojazdami w przypadku sytuacji konfliktowej i system wspomagania decyzji |
| US9934623B2 (en) * | 2016-05-16 | 2018-04-03 | Wi-Tronix Llc | Real-time data acquisition and recording system |
| CN107194612B (zh) * | 2017-06-20 | 2020-10-13 | 清华大学 | 一种基于深度强化学习的列车运行调度方法及系统 |
| CN109204390B (zh) * | 2018-09-29 | 2021-03-12 | 交控科技股份有限公司 | 一种基于深度学习的列车控制方法 |
| CN109835375B (zh) * | 2019-01-29 | 2021-05-11 | 中国铁道科学研究院集团有限公司通信信号研究所 | 基于人工智能技术的高速铁路列车自动驾驶系统 |
| DE102019206241A1 (de) * | 2019-04-30 | 2020-11-05 | Siemens Mobility GmbH | Verfahren zum Bestimmen einer Gleisbelegung sowie Achszähleinrichtung |
| US11493926B2 (en) * | 2019-05-15 | 2022-11-08 | Baidu Usa Llc | Offline agent using reinforcement learning to speedup trajectory planning for autonomous vehicles |
| CN110920690B (zh) * | 2019-11-22 | 2022-02-15 | 交控科技股份有限公司 | 远程筛选升级列车的方法 |
| CN111516735B (zh) * | 2020-05-14 | 2022-02-08 | 重庆交通大学 | 虚拟重联小编组列车自动驾驶的控制系统及其控制方法 |
| CN111619624B (zh) * | 2020-06-01 | 2022-06-21 | 北京全路通信信号研究设计院集团有限公司 | 一种基于深度强化学习的有轨电车运行控制方法和系统 |
| CN112149666A (zh) * | 2020-09-15 | 2020-12-29 | 河海大学 | 一种基于深度学习的车辆目标检测方法 |
| CN112193280B (zh) * | 2020-12-04 | 2021-03-16 | 华东交通大学 | 一种重载列车强化学习控制方法及系统 |
-
2021
- 2021-01-29 EP EP21154227.9A patent/EP4035969A1/de active Pending
-
2022
- 2022-01-18 AU AU2022200290A patent/AU2022200290B2/en active Active
- 2022-01-26 CN CN202210092219.3A patent/CN114802370B/zh active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102017215802A1 (de) * | 2017-09-07 | 2019-03-07 | Siemens Aktiengesellschaft | Fahrerassistenzsystem für Schienenfahrzeuge |
| EP3552921A1 (de) * | 2018-04-13 | 2019-10-16 | Siemens Mobility GmbH | Autonome geschwindigkeitsplanung eines auf einen vorbestimmten pfad beschränkten beweglichen akteurs |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114802370A (zh) | 2022-07-29 |
| EP4035969A1 (de) | 2022-08-03 |
| CN114802370B (zh) | 2024-06-14 |
| AU2022200290A1 (en) | 2022-08-18 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| FGA | Letters patent sealed or granted (standard patent) |