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Documents authored by Clausen, Jens

Document
Complete Volume
DOI: 10.4230/OASIcs.ATMOS.2009
OASIcs, Volume 12, ATMOS'09, Complete Volume

Authors: Jens Clausen and Gabriele Di Stefano

Published in: OASIcs, Volume 12, 9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09) (2009)

Abstract
OASIcs, Volume 12, ATMOS'09, Complete Volume
Cite as

9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09). Open Access Series in Informatics (OASIcs), Volume 12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

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@Proceedings{clausen_et_al:OASIcs.ATMOS.2009,
  title =	{{OASIcs, Volume 12, ATMOS'09, Complete Volume}},
  booktitle =	{9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09)},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-11-8},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{12},
  editor =	{Clausen, Jens and Di Stefano, Gabriele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2009},
  URN =		{urn:nbn:de:0030-drops-35741},
  doi =		{10.4230/OASIcs.ATMOS.2009},
  annote =	{Keywords: Analysis of Algorithms and Problem Complexity, Optimization, Graph Theory, Applications}
}
Document
Front Matter
DOI: 10.4230/OASIcs.ATMOS.2009.2294
ATMOS 2009 Preface -- 9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems

Authors: Jens Clausen and Gabriele Di Stefano

Published in: OASIcs, Volume 12, 9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09) (2009)

Abstract
The 9th ATMOS workshop was held in Copenhagen, September 10, 2008, within ALGO, an annual meeting combining European algorithms conferences and workshops. ATMOS focuses specifically on models, algorithms and methods for optimization problems in transportation systems.
Cite as

9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09). Open Access Series in Informatics (OASIcs), Volume 12, pp. i-iii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{clausen_et_al:OASIcs.ATMOS.2009.2294,
  author =	{Clausen, Jens and Di Stefano, Gabriele},
  title =	{{ATMOS 2009 Preface -- 9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems}},
  booktitle =	{9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09)},
  pages =	{i--iii},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-11-8},
  ISSN =	{2190-6807},
  year =	{2009},
  volume =	{12},
  editor =	{Clausen, Jens and Di Stefano, Gabriele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2009.2294},
  URN =		{urn:nbn:de:0030-drops-22943},
  doi =		{10.4230/OASIcs.ATMOS.2009.2294},
  annote =	{Keywords: Combinatorial optimization, transportation, scheduling, infrastructure planning, timetables}
}
Document
DOI: 10.4230/OASIcs.ATMOS.2007.1181
02. Applied Railway Optimization in Production Planning at DSB S-tog - tasks, tools and challenges

Authors: Jens Clausen

Published in: OASIcs, Volume 7, 7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07) (2007)

Abstract
Efficient public transportation is becoming increasingly vital for modern capitals. DSB S-tog a/s is the major supplier of rail traffic on the infrastructure of the city-rail network in Copenhagen. S-tog has experienced a demand for increasing volume and quality of the transportation offered to the customers, and has concurrently been met with demands for higher efficiency in the daily operation. The plans of timetable, rolling stock and crew must hence allow for a high level of customer service, be efficient, and be robust against disturbances of operations. It is a highly non-trivial task to meet these conflicting goals. S-tog has therefore on the strategic level decided to use software with optimization capabilities in the planning processes. We describe the current status for each activity using optimization or simulation as a tool: Timetable evaluation, rolling stock planning, and crew scheduling. In addition we describe on-going efforts in using mathematical models in activities such as timetable design and work-force planning. We also identify some organizatorial key factors, which have paved the way for extended use of optimization methods in railway production planning.
Cite as

Jens Clausen. 02. Applied Railway Optimization in Production Planning at DSB S-tog - tasks, tools and challenges. In 7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07). Open Access Series in Informatics (OASIcs), Volume 7, pp. 15-29, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{clausen:OASIcs.ATMOS.2007.1181,
  author =	{Clausen, Jens},
  title =	{{02. Applied Railway Optimization in Production Planning at DSB S-tog - tasks, tools and challenges}},
  booktitle =	{7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07)},
  pages =	{15--29},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-04-0},
  ISSN =	{2190-6807},
  year =	{2007},
  volume =	{7},
  editor =	{Ahuja, Ravindra K. and Liebchen, Christian and Mesa, Juan A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2007.1181},
  URN =		{urn:nbn:de:0030-drops-11819},
  doi =		{10.4230/OASIcs.ATMOS.2007.1181},
  annote =	{Keywords: Operations research, urban railways, timetabling, crew, disruption management}
}
Document
DOI: 10.4230/OASIcs.ATMOS.2007.1183
03. Disruption Management in PassengerTransportation - from Air to Tracks

Authors: Jens Clausen

Published in: OASIcs, Volume 7, 7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07) (2007)

Abstract
Over the last 10 years there has been a tremendous growth in air transportation of passengers. Both airports and airspace are close to saturation with respect to capacity, leading to delays caused by disruptions. At the same time the amount of vehicular traffic around and in all larger cities of the world has show a dramatic increase as well. Public transportation by e.g. rail has come into focus, and hence also the service level provided by suppliers ad public transportation. These transportation systems are likewise very vulnerable to disruptions. In the airline industry there is a long tradition for using advanced mathematical models as the basis for planning of resources as aircraft and crew. These methods are now also coming to use in the process of handling disruptions, and robustness of plans has received much interest. Commercial IT-systems supplying decision support for recovery of disrupted operations are becoming available. The use of advanced planning and recovery methods in the railway industry currently gains momentum. The current paper gives a short overview over the methods used for planning and disruption management in the airline industry. The situation regarding railway optimization is then described and discussed. The issue of robustness of timetables and plans for rolling stock and crew is also addressed.
Cite as

Jens Clausen. 03. Disruption Management in PassengerTransportation - from Air to Tracks. In 7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07). Open Access Series in Informatics (OASIcs), Volume 7, pp. 30-47, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{clausen:OASIcs.ATMOS.2007.1183,
  author =	{Clausen, Jens},
  title =	{{03. Disruption Management in PassengerTransportation - from Air to Tracks}},
  booktitle =	{7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07)},
  pages =	{30--47},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-04-0},
  ISSN =	{2190-6807},
  year =	{2007},
  volume =	{7},
  editor =	{Ahuja, Ravindra K. and Liebchen, Christian and Mesa, Juan A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2007.1183},
  URN =		{urn:nbn:de:0030-drops-11836},
  doi =		{10.4230/OASIcs.ATMOS.2007.1183},
  annote =	{Keywords: }
}
Document
DOI: 10.4230/OASIcs.ATMOS.2006.687
Robustness and Recovery in Train Scheduling - a Case Study from DSB S-tog a/s

Authors: Mads Hofman, Line Madsen, Julie Jespersen Groth, Jens Clausen, and Jesper Larsen

Published in: OASIcs, Volume 5, 6th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS'06) (2006)

Abstract
This paper presents a simulation model to study the robustness of timetables of DSB S-tog a/s, the city rail of Copenhagen. Dealing with rush hour scenarios only, the simulation model investigates the effects of disturbances on the S-tog network. Several timetables are analyzed with respect to robustness. Some of these are used in operation and some are generated for the purpose of investigating timetables with specific alternative characteristics.
Cite as

Mads Hofman, Line Madsen, Julie Jespersen Groth, Jens Clausen, and Jesper Larsen. Robustness and Recovery in Train Scheduling - a Case Study from DSB S-tog a/s. In 6th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS'06). Open Access Series in Informatics (OASIcs), Volume 5, pp. 1-22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{hofman_et_al:OASIcs.ATMOS.2006.687,
  author =	{Hofman, Mads and Madsen, Line and Jespersen Groth, Julie and Clausen, Jens and Larsen, Jesper},
  title =	{{Robustness and Recovery in Train Scheduling - a Case Study from DSB S-tog a/s}},
  booktitle =	{6th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS'06)},
  pages =	{1--22},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-01-9},
  ISSN =	{2190-6807},
  year =	{2006},
  volume =	{5},
  editor =	{Jacob, Riko and M\"{u}ller-Hannemann, Matthias},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2006.687},
  URN =		{urn:nbn:de:0030-drops-6878},
  doi =		{10.4230/OASIcs.ATMOS.2006.687},
  annote =	{Keywords: Train scheduling, simulation model, robustness, recovery}
}
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