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  4. EETTlib - Energy-efficient train timetabling library
 
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2023
Journal Article
Title

EETTlib - Energy-efficient train timetabling library

Abstract
We introduce EETTlib, an instance library for the Energy-Efficient Train Timetabling problem. The task in this problem is to adjust a given timetable draft such that the energy consumption of the resulting railway traffic is minimized. To this end, the departure times of the trains can be slightly, and their velocity profiles on each trip can be modified. We provide real-world data originating from two research projects in this field, one with Deutsche Bahn AG, the most important railway company in Germany, the other with VAG Verkehrs-Aktiengesellschaft, the operator of public transport in the city of Nürnberg, Germany. In both cases, our library contains representative data on the relevant operational constraints and supports various possible choices for the objective function with respect to energy-efficiency. The resulting benchmark instances can be used by the scheduling and timetabling community to improve their models and algorithms. They are available under https://www.eettlib.fau.de.
Author(s)
Bärmann, A.
Friedrich-Alexander-Universität Erlangen-Nürnberg  
Gemander, Patrick
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Hager, L.
Friedrich-Alexander-Universität Erlangen-Nürnberg  
Nöth, F.
VAG Verkehrs-Aktiengesellschaft
Schneider, Oskar  
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Journal
Networks  
Open Access
DOI
10.1002/net.22117
Additional link
Full text
Language
English
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Keyword(s)
  • benchmark library

  • clique problem

  • energy consumption

  • multiple-choice constraints

  • project scheduling problem

  • railway timetabling

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