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Documents authored by Marton, Peter

Found 2 Possible Name Variants:

Marton, Peter

Document
DOI: 10.4230/OASIcs.ATMOS.2009.2142
An Improved Train Classification Procedure for the Hump Yard Lausanne Triage

Authors: Peter Márton, Jens Maue, and Marc Nunkesser

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

Abstract
In this paper we combine an integer programming approach and a computer simulation tool to successfully develop and verify an improved classification schedule for a real-world train classification instance. First, we derive an integer program for computing train classification schedules based on an earlier developed bitstring representation of such schedules. We show how to incorporate various practical restrictions in this model. Secondly, we apply the model to one day of traffic data of the Swiss classification yard Lausanne Triage. We incorporate all the operational and infrastructural restrictions of this yard instance in our integer program. Even with this high number of restrictions, we are able to compute a schedule that saves a full sorting step and one track compared to the currently applied procedure. We finally show this improved schedule is applicable in practice by a thorough computer simulation.
Cite as

Peter Márton, Jens Maue, and Marc Nunkesser. An Improved Train Classification Procedure for the Hump Yard Lausanne Triage. In 9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09). Open Access Series in Informatics (OASIcs), Volume 12, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{marton_et_al:OASIcs.ATMOS.2009.2142,
  author =	{M\'{a}rton, Peter and Maue, Jens and Nunkesser, Marc},
  title =	{{An Improved Train Classification Procedure for the Hump Yard Lausanne Triage}},
  booktitle =	{9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09)},
  pages =	{1--15},
  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.2009.2142},
  URN =		{urn:nbn:de:0030-drops-21427},
  doi =		{10.4230/OASIcs.ATMOS.2009.2142},
  annote =	{Keywords: Train classification, shunting of rolling stock, simulation tools for transport operations, infrastructure planning, freight trains Train classification, shunting of rolling stock, simulation tools for transport operations, infrastructure planning, freight trains}
}
Document
DOI: 10.4230/OASIcs.ATMOS.2007.1179
11. Multistage Methods for Freight Train Classification

Authors: Riko Jacob, Peter Marton, Jens Maue, and Marc Nunkesser

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

Abstract
In this paper we establish a consistent encoding of freight train classification methods. This encoding scheme presents a powerful tool for efficient presentation and analysis of classification methods, which we successfully apply to illustrate the most relevant historic results from a more theoretical point of view. We analyze their performance precisely and develop new classification methods making use of the inherent optimality condition of the encoding. We conclude with deriving optimal algorithms and complexity results for restricted real-world settings.
Cite as

Riko Jacob, Peter Marton, Jens Maue, and Marc Nunkesser. 11. Multistage Methods for Freight Train Classification. In 7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07). Open Access Series in Informatics (OASIcs), Volume 7, pp. 158-174, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

Copy BibTex To Clipboard

@InProceedings{jacob_et_al:OASIcs.ATMOS.2007.1179,
  author =	{Jacob, Riko and Marton, Peter and Maue, Jens and Nunkesser, Marc},
  title =	{{11. Multistage Methods for Freight Train Classification}},
  booktitle =	{7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07)},
  pages =	{158--174},
  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.2007.1179},
  URN =		{urn:nbn:de:0030-drops-11798},
  doi =		{10.4230/OASIcs.ATMOS.2007.1179},
  annote =	{Keywords: Freight trains, sorting algorithms, train classification, shunting, cargo}
}

Márton, Peter

Document
DOI: 10.4230/OASIcs.ATMOS.2009.2142
An Improved Train Classification Procedure for the Hump Yard Lausanne Triage

Authors: Peter Márton, Jens Maue, and Marc Nunkesser

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

Abstract
In this paper we combine an integer programming approach and a computer simulation tool to successfully develop and verify an improved classification schedule for a real-world train classification instance. First, we derive an integer program for computing train classification schedules based on an earlier developed bitstring representation of such schedules. We show how to incorporate various practical restrictions in this model. Secondly, we apply the model to one day of traffic data of the Swiss classification yard Lausanne Triage. We incorporate all the operational and infrastructural restrictions of this yard instance in our integer program. Even with this high number of restrictions, we are able to compute a schedule that saves a full sorting step and one track compared to the currently applied procedure. We finally show this improved schedule is applicable in practice by a thorough computer simulation.
Cite as

Peter Márton, Jens Maue, and Marc Nunkesser. An Improved Train Classification Procedure for the Hump Yard Lausanne Triage. In 9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09). Open Access Series in Informatics (OASIcs), Volume 12, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

Copy BibTex To Clipboard

@InProceedings{marton_et_al:OASIcs.ATMOS.2009.2142,
  author =	{M\'{a}rton, Peter and Maue, Jens and Nunkesser, Marc},
  title =	{{An Improved Train Classification Procedure for the Hump Yard Lausanne Triage}},
  booktitle =	{9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'09)},
  pages =	{1--15},
  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.2009.2142},
  URN =		{urn:nbn:de:0030-drops-21427},
  doi =		{10.4230/OASIcs.ATMOS.2009.2142},
  annote =	{Keywords: Train classification, shunting of rolling stock, simulation tools for transport operations, infrastructure planning, freight trains Train classification, shunting of rolling stock, simulation tools for transport operations, infrastructure planning, freight trains}
}
Document
DOI: 10.4230/OASIcs.ATMOS.2007.1179
11. Multistage Methods for Freight Train Classification

Authors: Riko Jacob, Peter Marton, Jens Maue, and Marc Nunkesser

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

Abstract
In this paper we establish a consistent encoding of freight train classification methods. This encoding scheme presents a powerful tool for efficient presentation and analysis of classification methods, which we successfully apply to illustrate the most relevant historic results from a more theoretical point of view. We analyze their performance precisely and develop new classification methods making use of the inherent optimality condition of the encoding. We conclude with deriving optimal algorithms and complexity results for restricted real-world settings.
Cite as

Riko Jacob, Peter Marton, Jens Maue, and Marc Nunkesser. 11. Multistage Methods for Freight Train Classification. In 7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07). Open Access Series in Informatics (OASIcs), Volume 7, pp. 158-174, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

Copy BibTex To Clipboard

@InProceedings{jacob_et_al:OASIcs.ATMOS.2007.1179,
  author =	{Jacob, Riko and Marton, Peter and Maue, Jens and Nunkesser, Marc},
  title =	{{11. Multistage Methods for Freight Train Classification}},
  booktitle =	{7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07)},
  pages =	{158--174},
  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.2007.1179},
  URN =		{urn:nbn:de:0030-drops-11798},
  doi =		{10.4230/OASIcs.ATMOS.2007.1179},
  annote =	{Keywords: Freight trains, sorting algorithms, train classification, shunting, cargo}
}
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