Online Model Predictive Control for Energy-saving Train Operation in Passenger-Freight Mixed Lines
This paper focuses on the online energy-saving operation control problem for passenger and freight trains running in a single-track railway line. Firstly, we design a centralised optimisation method to generate energy-saving reference profiles for both passenger and freight trains, in order to impro...
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| Format: | Article |
| Language: | English |
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University of Zagreb, Faculty of Transport and Traffic Sciences
2024-12-01
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| Series: | Promet (Zagreb) |
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| Online Access: | https://traffic2.fpz.hr/index.php/PROMTT/article/view/589 |
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| _version_ | 1846114490374946816 |
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| author | Dandan WANG Heng DENG Jingyuan ZHAN Liguo ZHANG |
| author_facet | Dandan WANG Heng DENG Jingyuan ZHAN Liguo ZHANG |
| author_sort | Dandan WANG |
| collection | DOAJ |
| description | This paper focuses on the online energy-saving operation control problem for passenger and freight trains running in a single-track railway line. Firstly, we design a centralised optimisation method to generate energy-saving reference profiles for both passenger and freight trains, in order to improve the punctuality of passenger trains and to reduce the total running time of freight trains in a central way. Secondly, we propose the distributed model predictive control (DMPC) based online trajectory optimisation problems for both types of trains, subject to their respective operational constraints including safety, punctuality, static speed limits and temporary speed restrictions. Then we formulate an online train operation control algorithm based on the centralised optimisation method for the initialisation of train trajectories and the DMPC method for the online trajectory planning. Finally, the proposed algorithm is applied to case studies of passenger and freight trains in a single track railway, and the numerical simulation results show that the proposed algorithm can realise online control for energy-saving train operation in the presence of input disturbances and temporary speed restrictions. |
| format | Article |
| id | doaj-art-fcec518059eb4ae9a52228a6eb8132ff |
| institution | Kabale University |
| issn | 0353-5320 1848-4069 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
| record_format | Article |
| series | Promet (Zagreb) |
| spelling | doaj-art-fcec518059eb4ae9a52228a6eb8132ff2024-12-20T11:28:44ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692024-12-013661039105310.7307/ptt.v36i6.589589Online Model Predictive Control for Energy-saving Train Operation in Passenger-Freight Mixed LinesDandan WANG0Heng DENG1Jingyuan ZHAN2Liguo ZHANG3Beijing University of Technology, Faculty of Information Technology; Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent SystemsBeijing University of Technology, Faculty of Information Technology; Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent SystemsBeijing University of Technology, Faculty of Information Technology; Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent SystemsBeijing University of Technology, Faculty of Information Technology; Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent SystemsThis paper focuses on the online energy-saving operation control problem for passenger and freight trains running in a single-track railway line. Firstly, we design a centralised optimisation method to generate energy-saving reference profiles for both passenger and freight trains, in order to improve the punctuality of passenger trains and to reduce the total running time of freight trains in a central way. Secondly, we propose the distributed model predictive control (DMPC) based online trajectory optimisation problems for both types of trains, subject to their respective operational constraints including safety, punctuality, static speed limits and temporary speed restrictions. Then we formulate an online train operation control algorithm based on the centralised optimisation method for the initialisation of train trajectories and the DMPC method for the online trajectory planning. Finally, the proposed algorithm is applied to case studies of passenger and freight trains in a single track railway, and the numerical simulation results show that the proposed algorithm can realise online control for energy-saving train operation in the presence of input disturbances and temporary speed restrictions.https://traffic2.fpz.hr/index.php/PROMTT/article/view/589optimal train controlenergy-saving operationdistributed model predictive controlpassenger and freight mixed lines |
| spellingShingle | Dandan WANG Heng DENG Jingyuan ZHAN Liguo ZHANG Online Model Predictive Control for Energy-saving Train Operation in Passenger-Freight Mixed Lines Promet (Zagreb) optimal train control energy-saving operation distributed model predictive control passenger and freight mixed lines |
| title | Online Model Predictive Control for Energy-saving Train Operation in Passenger-Freight Mixed Lines |
| title_full | Online Model Predictive Control for Energy-saving Train Operation in Passenger-Freight Mixed Lines |
| title_fullStr | Online Model Predictive Control for Energy-saving Train Operation in Passenger-Freight Mixed Lines |
| title_full_unstemmed | Online Model Predictive Control for Energy-saving Train Operation in Passenger-Freight Mixed Lines |
| title_short | Online Model Predictive Control for Energy-saving Train Operation in Passenger-Freight Mixed Lines |
| title_sort | online model predictive control for energy saving train operation in passenger freight mixed lines |
| topic | optimal train control energy-saving operation distributed model predictive control passenger and freight mixed lines |
| url | https://traffic2.fpz.hr/index.php/PROMTT/article/view/589 |
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