A comparison of performance metrics for balancing the power consumption of trains in a railway network by slight timetable adaptation

Andreas Bärmann (), Alexander Martin and Oskar Schneider
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Andreas Bärmann: Friedrich-Alexander-Universität Erlangen-Nürnberg
Alexander Martin: Friedrich-Alexander-Universität Erlangen-Nürnberg
Oskar Schneider: Friedrich-Alexander-Universität Erlangen-Nürnberg

Public Transport, 2017, vol. 9, issue 1, No 7, 95-113

Abstract: Abstract We investigate the problem of designing energy-efficient timetables for railway traffic. More precisely, we slightly adapt a given timetable draft before it is published by moderately shifting the departure times of the trains at the stations. To this end, we propose a mixed-integer programming model for feasible adaptations of the timetable draft and investigate its behaviour under different objective functions which fall into two classes: reducing the energy cost and increasing the stability of the power supply system. These tests are performed on real-world problem instances from our industry partner Deutsche Bahn AG. They show a significant potential for improvements in the existing railway timetables.

Keywords: Railway timetabling; Power peak reduction; Mixed-integer programming (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s12469-017-0160-4

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