Dagstuhl-Seminar 24281
Dynamic Traffic Models in Transportation Science
( 07. Jul – 12. Jul, 2024 )
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Organisatoren
- José R. Correa (University of Chile - Santiago de Chile, CL)
- Carolina Osorio (HEC - Montréal, CA & Google Research - Mountain View, US)
- Laura Vargas Koch (Universität Bonn, DE)
- David Watling (University of Leeds, GB)
Kontakt
- Andreas Dolzmann (für wissenschaftliche Fragen)
- Susanne Bach-Bernhard (für administrative Fragen)
Gemeinsame Dokumente
- Dagstuhl Materials Page (Use personal credentials as created in DOOR to log in)
Programm
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. 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. 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.
This Dagstuhl Seminar, which is the fourth in a row on this topic, aims at bringing together leading scientists in the areas traffic simulations, algorithmic game theory (AGT), and dynamic traffic assignment (DTA), as well as applied researches from industry. In the seminar, we will tackle on one hand important open research problems that were identified in past seminars and on the other hand new questions motivated from recent developments. We will particularly address the following topics:
Sustainable traveler and vehicular fleet behavior in dynamic networks. Travelers and vehicular fleet operators are increasingly aware and responsive to the sustainability impact of their travel choices. While this is already incorporated in transportation science models and industrial offers, their theoretical understanding needs to be improved.
Computation of approximate equilibrium solutions. Practitioners still attempt, and in many cases are required, to compute (approximate) equilibrium solutions. We aim to bridge the gap between AGT and transportation practitioners by addressing questions in the flavor of how can AGT frameworks to compute equilibria be used to enhance the computation of simulation- based equilibria.
Dynamics at urban intersections. Arguably, the most critical differentiator between DTA models and simulation-based models is the description of vehicular dynamics at intersections. By improving the understanding of these dynamics, we aim to tie a closer connection between analytical dynamic traffic equilibria and their approximate simulation-based counterparts.
Electric urban mobility. The current premise in transportation practice is that we observer a change towards electric mobility. In the seminar we aim to understand the mathematical and algorithmic challenges that are specific to the electric setting, and to advance the formulation of algorithmic frameworks to tackle this problem.
- Umang Bhaskar (TIFR Mumbai, IN) [dblp]
- Roberto Cominetti (Adolfo Ibáñez University - Santiago, CL) [dblp]
- Richard Connors (University of Luxembourg, LU) [dblp]
- José R. Correa (University of Chile - Santiago de Chile, CL) [dblp]
- Katharina Eickhoff (RWTH Aachen, DE) [dblp]
- Andrés Salomón Fielbaum Schnitzler (University of Sydney, AU)
- Gunnar Flötteröd (Linköping University, SE) [dblp]
- Martin Gairing (University of Liverpool, GB) [dblp]
- Song Gao (University of Massachusetts - Amherst, US)
- Lukas Graf (Universität Passau, DE) [dblp]
- Svenja M. Griesbach (TU Berlin, DE) [dblp]
- Tobias Harks (Universität Passau, DE) [dblp]
- Martin Hoefer (RWTH Aachen, DE) [dblp]
- Takamasa Iryo (Tohoku University - Sendai, JP) [dblp]
- Saif Jabari (New York University - Abu Dhabi, AE) [dblp]
- Max Klimm (TU Berlin, DE) [dblp]
- Ekkehard Köhler (BTU Cottbus-Senftenberg, DE) [dblp]
- Hong K. Lo (The Hong Kong Univ. of Science & Technology, HK) [dblp]
- Gaurav Malik (KU Leuven, BE)
- Jannik Matuschke (KU Leuven, BE) [dblp]
- Haruko Nakao (University of Luxembourg - Esch-sur-Alzette, LU) [dblp]
- Neil Olver (London School of Economics & Political Science, GB) [dblp]
- Tim Oosterwijk (VU Amsterdam, NL) [dblp]
- Carolina Osorio (HEC - Montréal, CA & Google Research - Mountain View, US) [dblp]
- Dario Paccagnan (Imperial College London, GB) [dblp]
- Britta Peis (RWTH Aachen, DE) [dblp]
- Koki Satsukawa (Kanazawa University - Ishikawa-ken, JP) [dblp]
- Marco Scarsini (LUISS University - Rome, IT) [dblp]
- Daniel Schmand (Universität Bremen, DE) [dblp]
- Marc Schröder (Maastricht Univ. School of Business & Economics, NL) [dblp]
- Ravi Seshadri (Technical University of Denmark - Lyngby, DK) [dblp]
- Alexander Skopalik (University of Twente - Enschede, NL) [dblp]
- Nicolas Stier-Moses (Meta - Menlo Park, US) [dblp]
- Martin Strehler (Westsächsische Hochschule Zwickau, DE) [dblp]
- Laura Vargas Koch (Universität Bonn, DE) [dblp]
- Bernhard von Stengel (London School of Economics & Political Science, GB) [dblp]
- Peter Wagner (DLR - Berlin, DE) [dblp]
- David Watling (University of Leeds, GB) [dblp]
- Chiwei Yan (University of California - Berkeley, US)
- Theresa Ziemke (TU Berlin, DE) [dblp]
Verwandte Seminare
- Dagstuhl-Seminar 15412: Dynamic Traffic Models in Transportation Science (2015-10-04 - 2015-10-09) (Details)
- Dagstuhl-Seminar 18102: Dynamic Traffic Models in Transportation Science (2018-03-04 - 2018-03-09) (Details)
- Dagstuhl-Seminar 22192: Dynamic Traffic Models in Transportation Science (2022-05-08 - 2022-05-13) (Details)
Klassifikation
- Computational Engineering / Finance / and Science
- Computer Science and Game Theory
- Multiagent Systems
Schlagworte
- Dynamic equilibria
- Dynamic traffic assignments
- Traffic simulation
- dynamic network flow theory
- energy aware DTA