Abstract
Energy-efficient train operation can reduce operating costs
and contribute to a reduction in CO2 emissions. To utilise the full
potential of energy-efficient driving, energy-efficient timetabling is crucial.
To address this problem, we propose a decision support tool to
give timetable planners insight into energy consumption for a given
timetable. The decision support tool uses a recommendation based on
quadratic optimisation of a given timetable. Differently to previous work,
the optimisation uses actual data from the train operation, which is preprocessed by data reduction, outlier detection, and second-degree regression modelling. With this approach, our results show that the optimised
timetables can save up to 33.07% energy on a single section and up to
6.23% for a complete timetable. Solutions are computed in less than a
microsecond.
and contribute to a reduction in CO2 emissions. To utilise the full
potential of energy-efficient driving, energy-efficient timetabling is crucial.
To address this problem, we propose a decision support tool to
give timetable planners insight into energy consumption for a given
timetable. The decision support tool uses a recommendation based on
quadratic optimisation of a given timetable. Differently to previous work,
the optimisation uses actual data from the train operation, which is preprocessed by data reduction, outlier detection, and second-degree regression modelling. With this approach, our results show that the optimised
timetables can save up to 33.07% energy on a single section and up to
6.23% for a complete timetable. Solutions are computed in less than a
microsecond.
Original language | English |
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Title of host publication | Proceedings of the 10th International Conference on Computational Logistics (ICCL19) |
Number of pages | 16 |
Publisher | Springer |
Publication date | 30 Sept 2019 |
Pages | 397-412 |
ISBN (Print) | 978-3-030-31139-1 |
DOIs | |
Publication status | Published - 30 Sept 2019 |
Event | 10th International Conference on Computational Logistics - Barranquilla, Colombia Duration: 30 Sept 2019 → 2 Oct 2019 Conference number: 10 |
Conference
Conference | 10th International Conference on Computational Logistics |
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Number | 10 |
Country/Territory | Colombia |
City | Barranquilla |
Period | 30/09/2019 → 02/10/2019 |
Series | Lecture Notes in Computer Science |
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Volume | 11756 |
ISSN | 0302-9743 |
Keywords
- Energy-efficient train operation
- Timetabling optimisation
- Decision support tool
- Quadratic optimisation
- Data preprocessing