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Documents authored by Perea, Federico


Document
Complete Volume
OASIcs, Volume 96, ATMOS 2021, Complete Volume

Authors: Matthias Müller-Hannemann and Federico Perea

Published in: OASIcs, Volume 96, 21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021)


Abstract
OASIcs, Volume 96, ATMOS 2021, Complete Volume

Cite as

21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021). Open Access Series in Informatics (OASIcs), Volume 96, pp. 1-304, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@Proceedings{mullerhannemann_et_al:OASIcs.ATMOS.2021,
  title =	{{OASIcs, Volume 96, ATMOS 2021, Complete Volume}},
  booktitle =	{21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021)},
  pages =	{1--304},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-213-6},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{96},
  editor =	{M\"{u}ller-Hannemann, Matthias and Perea, Federico},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2021},
  URN =		{urn:nbn:de:0030-drops-148685},
  doi =		{10.4230/OASIcs.ATMOS.2021},
  annote =	{Keywords: OASIcs, Volume 96, ATMOS 2021, Complete Volume}
}
Document
Front Matter
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Matthias Müller-Hannemann and Federico Perea

Published in: OASIcs, Volume 96, 21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021)


Abstract
Front Matter, Table of Contents, Preface, Conference Organization

Cite as

21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021). Open Access Series in Informatics (OASIcs), Volume 96, pp. 0:i-0:x, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{mullerhannemann_et_al:OASIcs.ATMOS.2021.0,
  author =	{M\"{u}ller-Hannemann, Matthias and Perea, Federico},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021)},
  pages =	{0:i--0:x},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-213-6},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{96},
  editor =	{M\"{u}ller-Hannemann, Matthias and Perea, Federico},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2021.0},
  URN =		{urn:nbn:de:0030-drops-148690},
  doi =		{10.4230/OASIcs.ATMOS.2021.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
Simultaneous frequency and capacity setting for rapid transit systems with a competing mode and capacity constraints

Authors: Alicia De-Los-Santos, Gilbert Laporte, Juan A. Mesa, and Federico Perea

Published in: OASIcs, Volume 42, 14th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (2014)


Abstract
The railway planning problem consists of several consecutive phases: network design, line planning, timetabling, personnel assignment and rolling stocks planning. In this paper we will focus on the line planning process. Traditionally, the line planning problem consists of determining a set of lines and their frequencies optimizing a certain objective. In this work we will focus on the line planning problem context taking into account aspects related to rolling stock and crew operating costs. We assume that the number of possible vehicles is limited, that is, the problem that we are considering is a capacitated problem and the line network can be a crowding network. The main novelty in this paper is the consideration of the size of vehicles and frequencies as variables as well as the inclusion of a congestion function measuring the level of in-vehicle crowding. Concretely, we present the problem and an algorithm to solve it, which are tested via a computational experience.

Cite as

Alicia De-Los-Santos, Gilbert Laporte, Juan A. Mesa, and Federico Perea. Simultaneous frequency and capacity setting for rapid transit systems with a competing mode and capacity constraints. In 14th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems. Open Access Series in Informatics (OASIcs), Volume 42, pp. 107-121, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)


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@InProceedings{delossantos_et_al:OASIcs.ATMOS.2014.107,
  author =	{De-Los-Santos, Alicia and Laporte, Gilbert and Mesa, Juan A. and Perea, Federico},
  title =	{{Simultaneous frequency and capacity setting for rapid transit systems with a competing mode and capacity constraints}},
  booktitle =	{14th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems},
  pages =	{107--121},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-75-0},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{42},
  editor =	{Funke, Stefan and Mihal\'{a}k, Mat\'{u}s},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2014.107},
  URN =		{urn:nbn:de:0030-drops-47563},
  doi =		{10.4230/OASIcs.ATMOS.2014.107},
  annote =	{Keywords: Line planning, railway, capacity, frequency, congestion}
}
Document
01. A new concept of robustness

Authors: Ricardo García, Ángel Marín, Juan A. Mesa, Federico Perea, and Doroteo Verastegui

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


Abstract
In this paper a new concept of robustness is introduced and the corresponding optimization problem is stated. This new concept is applied to transportation network designs in which the set of scenarios arising from the uncertainty of the parameters follows a probability distribution. The $p$-robustness concept is aimed to problems where the feasibility of the solutions is not affected by the uncertainty of the parameters. In order to compare the solution with those of other already known concepts of robustness, some computational experiments with real data are included.

Cite as

Ricardo García, Ángel Marín, Juan A. Mesa, Federico Perea, and Doroteo Verastegui. 01. A new concept of robustness. In 7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07). Open Access Series in Informatics (OASIcs), Volume 7, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)


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@InProceedings{garcia_et_al:OASIcs.ATMOS.2007.1177,
  author =	{Garc{\'\i}a, Ricardo and Mar{\'\i}n, \'{A}ngel and Mesa, Juan A. and Perea, Federico and Verastegui, Doroteo},
  title =	{{01. A new concept of robustness}},
  booktitle =	{7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07)},
  pages =	{1--14},
  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-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2007.1177},
  URN =		{urn:nbn:de:0030-drops-11779},
  doi =		{10.4230/OASIcs.ATMOS.2007.1177},
  annote =	{Keywords: }
}
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