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Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 24281)

Authors: José Correa, Carolina Osorio, Laura Vargas Koch, David Watling, and Svenja Griesbach

Published in: Dagstuhl Reports, Volume 14, Issue 7 (2025)

Abstract

Traffic assignment models are crucial for traffic planners to be able to predict traffic distributions, especially in light of possible changes in the infrastructure, e.g., road constructions, traffic light controls, etc. There is a trend in the transportation community (science and industry) to base such predictions on complex computer-based simulations capable of resolving many elements of a real transportation system. Moreover, cities worldwide, driven by critical sustainability goals, are developing digital twins of their transportation networks to inform the design and the operations of these intricate networks. On the other hand, the theory of dynamic traffic assignments in terms of equilibrium existence, computability, and efficiency, has not matured to the point matching the model complexity inherent in simulations. The Dagstuhl Seminar was the fourth in a row on this topic and brought together leading scientists in the areas traffic simulations, algorithmic game theory, and dynamic traffic assignment. In this seminar, we tackled important open research problems that were identified in past seminars. Motivated by the increasing importance, in practice, of developing sustainable, flexible, and on-demand mobility services, this seminar identified a new set of important questions and first results in this field.

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José Correa, Carolina Osorio, Laura Vargas Koch, David Watling, and Svenja Griesbach. Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 24281). In Dagstuhl Reports, Volume 14, Issue 7, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@Article{correa_et_al:DagRep.14.7.1,
  author =	{Correa, Jos\'{e} and Osorio, Carolina and Koch, Laura Vargas and Watling, David and Griesbach, Svenja},
  title =	{{Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 24281)}},
  pages =	{1--16},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2025},
  volume =	{14},
  number =	{7},
  editor =	{Correa, Jos\'{e} and Osorio, Carolina and Koch, Laura Vargas and Watling, David and Griesbach, Svenja},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.7.1},
  URN =		{urn:nbn:de:0030-drops-229340},
  doi =		{10.4230/DagRep.14.7.1},
  annote =	{Keywords: Algorithms and Complexity of traffic equilibrium computations, Dynamic traffic assignment models, Simulation and network optimization}
}

Document

DOI: 10.4230/DagRep.12.5.92

Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 22192)

Authors: Martin Gairing, Carolina Osorio, Britta Peis, David Watling, and Katharina Eickhoff

Published in: Dagstuhl Reports, Volume 12, Issue 5 (2022)

Abstract

Traffic assignment models are crucial for transport planners to be able to predict the congestion, environmental and social impacts of transport policies, for example in the light of possible changes to the infrastructure, to the transport services offered, or to the prices charged to travellers. The motivation for this series of seminars - of which this seminar was the third - is the prevalence in the transportation community of basing such predictions on complex computer-based simulations that are capable of resolving many elements of a real systems, while on the other hand, the theory of dynamic traffic assignments (in terms of equilibrium existence, computability and efficiency) had not matured to the point matching the model complexity inherent in simulations. Progress has been made on this issue in the first two seminars (Dagstuhl Seminar 15412 and 18102), by bringing together leading scientists in the areas of traffic simulation, algorithmic game theory and dynamic traffic assignment. We continued this process this seminar. Moreover, we started to address the growing real-life challenge of new kinds of 'mobility service' emerging, before the tools are available to incorporate them in such planning models. These services include intelligent/dynamic ride-sharing and car-sharing, through to fully autonomous vehicles, provided potentially by a variety of competing operators.

Cite as

Martin Gairing, Carolina Osorio, Britta Peis, David Watling, and Katharina Eickhoff. Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 22192). In Dagstuhl Reports, Volume 12, Issue 5, pp. 92-111, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Article{gairing_et_al:DagRep.12.5.92,
  author =	{Gairing, Martin and Osorio, Carolina and Peis, Britta and Watling, David and Eickhoff, Katharina},
  title =	{{Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 22192)}},
  pages =	{92--111},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{12},
  number =	{5},
  editor =	{Gairing, Martin and Osorio, Carolina and Peis, Britta and Watling, David and Eickhoff, Katharina},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.5.92},
  URN =		{urn:nbn:de:0030-drops-174441},
  doi =		{10.4230/DagRep.12.5.92},
  annote =	{Keywords: Algorithms and Complexity of traffic equilibrium computations, Dynamic traffic assignment models, Simulation and network optimization}
}

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Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 24281)

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Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 22192)

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