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Dynamic Traffic Models in Transportation Science

Correa, José R.; Harks, Tobias; Nagel, Kai; Peis, Britta; Skutella, Martin

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.
Published in: Dagstuhl Reports, 10.4230/DagRep.5.10.19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik