Please use this identifier to cite or link to this item:
Main Title: Dynamic Traffic Models in Transportation Science
Author(s): Correa, José R.
Harks, Tobias
Nagel, Kai
Peis, Britta
Skutella, Martin
Type: Article
Language Code: en
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.
Issue Date: 2016
Date Available: 26-Nov-2018
DDC Class: 380 Handel, Kommunikation, Verkehr
Subject(s): dynamic traffic equilibria
complexity of equilibrium computation
dynamic network flow theory
network optimization
Journal Title: Dagstuhl Reports
Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Publisher Place: Wadern
Volume: 5
Issue: 10
Publisher DOI: 10.4230/DagRep.5.10.19
Page Start: 19
Page End: 34
ISSN: 2192-5283
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

Files in This Item:
File Description SizeFormat 
dagrep_v005_i010_p019_s15412.pdf1.03 MBAdobe PDFThumbnail

This item is licensed under a Creative Commons License Creative Commons