Searched for: subject%3A%22Train%255C+control%22
(1 - 13 of 13)
document
Dong, Shawn (author)
This paper presents a train robust control method to optimize train operation based on the concept virtual coupling on train platoon. This approach is inspired by the recent development of platoon control for autonomous vehicles, and it is hoped that this platoon control can be applied to railway transportation. We use a decentralized model...
student report 2023
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Tang, Ruifan (author), De Donato, Lorenzo (author), Bešinović, Nikola (author), Flammini, Francesco (author), Goverde, R.M.P. (author), Lin, Zhiyuan (author), Liu, Ronghui (author), Tang, Tianli (author), Vittorini, Valeria (author), Wang, Z. (author)
Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a large number of domains, including railways. In this paper, we present a systematic literature review of the current state-of-the-art of AI in railway transport. In particular, we analysed and discussed papers from a holistic railway perspective,...
review 2022
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Goverde, R.M.P. (author), Scheepmaker, G.M. (author), Wang, P. (author)
In the last decade, pseudospectral methods have become popular for solving optimal control problems. Pseudospectral methods do not need prior knowledge about the optimal control structure and are thus very flexible for problems with complex path constraints, which are common in optimal train control, or train trajectory optimization....
journal article 2021
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Scheepmaker, G.M. (author), Goverde, R.M.P. (author)
Energy-efficient train driving is an important topic to railway undertakings (RUs) for sustainability and cost reduction. The timetable affects the possibilities for energy-efficient train driving by the amount of running time supplements, which is the topic of energy-efficient train timetabling (EETT). The scientific literature on EETT...
journal article 2021
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Scheepmaker, G.M. (author), Pudney, Peter J. (author), Albrecht, Amie R. (author), Goverde, R.M.P. (author), Howlett, Phil G. (author)
Energy-efficient train driving can lead to a significant reduction in both CO<sub>2</sub> emissions and energy consumption. A lot of research has been done on the topic of energy-efficient train control that minimizes total traction energy consumption. Furthermore, the running time supplements in the timetable determine the possibilities for...
journal article 2020
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Scheepmaker, G.M. (author), Goverde, R.M.P. (author)
Energy-efficient train control (EETC) has been studied a lot over the last decades, because it contributes to cost savings and reduction of CO<sub>2</sub> emissions. The aim of EETC is to minimize total traction energy consumption of a train run given the running time in the timetable. Most research is focused to apply mechanical braking on...
journal article 2020
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Scheepmaker, G.M. (author), Willeboordse, Helen Y. (author), Hoogenraad, Jan H. (author), Luijt, Ralph S. (author), Goverde, R.M.P. (author)
The driving strategy of train drivers has a large impact on the energy consumption. In recent studies the focus was on calculating the optimal eco-driving strategy, and measuring the exact amount of energy used during train runs. However, energy consumption is not the only key performance indicator that affects the operational performance of...
journal article 2020
document
Hansen, I.A. (author)
The existing Big Data of transport flows and railway operations can be mined through advanced statistical analysis and machine learning methods in order to describe and predict well the train speed, punctuality, track capacity and energy consumption. The accurate modelling of the real spatial and temporal distribution of line and network...
journal article 2019
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Luan, X. (author), Wang, Y. (author), De Schutter, B.H.K. (author), Meng, Lingyun (author), Lodewijks, G. (author), Corman, F. (author)
We study the integration of real-time traffic management and train control by using mixed-integer nonlinear programming (MINLP) and mixed-integer linear programming (MILP) approaches. In Part 1 of the paper (Luan et al., 2018), three integrated optimization problems, namely the P<sub>NLP</sub> problem (NLP: nonlinear programming), the P<sub...
journal article 2018
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Luan, X. (author), Wang, Y. (author), De Schutter, B.H.K. (author), Meng, Lingyun (author), Lodewijks, G. (author), Corman, F. (author)
We study the integration of real-time traffic management and train control by using mixed-integer nonlinear programming (MINLP) and mixed-integer linear programming (MILP) approaches. Three innovative integrated optimization approaches for real-time traffic management that inherently include train control are developed to deliver both a train...
journal article 2018
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Scheepmaker, G.M. (author), Goverde, R.M.P. (author), Kroon, Leo (author)
The energy consumption of trains is highly efficient due to the low friction between steel wheels and rails, although the efficiency is also influenced largely by the driving strategy applied and the scheduled running times in the timetable. Optimal energy-efficient driving strategies can reduce operating costs significantly and contribute to a...
journal article 2016
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Scheepmaker, G.M. (author), Goverde, R.M.P. (author)
An important topic to reduce the energy consumption in railways is the use of energy-efficient train control (EETC). Modern trains allow regen-erative braking where the released kinetic energy can be reused. This regener-ative braking has an effect on the optimal driving regimes compared to trains which can only use mechanical braking. This...
conference paper 2015
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Goverde, R.M.P. (author), Scheepmaker, G.M. (author)
Energy-efficient train operation is not yet included in the timetable design process in the Netherlands. Hence, running time supplements are not optimally distributed in the timetable. Therefore research has been conducted on the possibilities to better incorporate energy-efficient train operation into the railway timetable. This paper describes...
conference paper 2015
Searched for: subject%3A%22Train%255C+control%22
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