License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.8.3.21
URN: urn:nbn:de:0030-drops-92954
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9295/
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Cominetti, Roberto ; Harks, Tobias ; Osorio, Carolina ; Peis, Britta
Weitere Beteiligte (Hrsg. etc.): Roberto Cominetti and Tobias Harks and Carolina Osorio and Britta Peis

Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 18102)

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dagrep_v008_i003_p021_18102.pdf (8 MB)

Abstract

Traffic assignment models are crucial for traffic planners to be able to predict traffic distributions, especially, in light of possible changes of the infrastructure, e.g., road constructions, traffic light controls, etc. The starting point of the seminar was the observation that there is a trend in the transportation community (science as well as industry) to base such predictions on complex computer-based simulations that are capable of resolving many elements of a real transportation system. On the other hand, within the past few years, the theory of dynamic traffic assignments in terms of equilibrium existence and equilibrium computation has not matured to the point matching the model complexity inherent in simulations. In view of the above, this interdisciplinary seminar brought together leading scientists in the areas traffic simulations, algorithmic game theory and dynamic traffic assignment as well as people from industry with strong scientific background who identified possible ways to bridge the described gap.

BibTeX - Entry

@Article{cominetti_et_al:DR:2018:9295,
  author =	{Roberto Cominetti and Tobias Harks and Carolina Osorio and Britta Peis},
  title =	{{Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 18102)}},
  pages =	{21--38},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{8},
  number =	{3},
  editor =	{Roberto Cominetti and Tobias Harks and Carolina Osorio and Britta Peis},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9295},
  URN =		{urn:nbn:de:0030-drops-92954},
  doi =		{10.4230/DagRep.8.3.21},
  annote =	{Keywords: Algorithm and complexity of traffic equilibrium computation, dynamic traffic assignment models, Simulation and network optimization}
}

Keywords: Algorithm and complexity of traffic equilibrium computation, dynamic traffic assignment models, Simulation and network optimization
Collection: Dagstuhl Reports, Volume 8, Issue 3
Issue Date: 2018
Date of publication: 25.07.2018

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