License: 
Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.12.5.92
URN: urn:nbn:de:0030-drops-174441
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/17444/
Gairing, Martin ;
Osorio, Carolina ;
Peis, Britta ;
Watling, David ;
Eickhoff, Katharina
Weitere Beteiligte (Hrsg. etc.): Martin Gairing and Carolina Osorio and Britta Peis and David Watling and Katharina Eickhoff
Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 22192)
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.
BibTeX - Entry
@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/opus/volltexte/2022/17444},
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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Keywords: |
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Algorithms and Complexity of traffic equilibrium computations, Dynamic traffic assignment models, Simulation and network optimization |
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Collection: |
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DagRep, Volume 12, Issue 5 |
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Issue Date: |
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2022 |
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Date of publication: |
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08.12.2022 |
