1 citations · 2 across the 4 of their papers we have counts for
5 papers
Carbon Pricing in Traffic Networks
Svenja M. Griesbach, Tobias Harks, Max Klimm +2
We study how externality pricing can steer traffic toward Wardrop equilibria respecting prescribed budgets. Our multi-commodity model encompasses carbon pricing, cordon pricing, an…
Towards Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge
Fanwen Wang, Zi Wang, Yan Li +60
Cardiovascular health is vital to human well-being, and cardiac magnetic resonance (CMR) imaging is considered the {clinical reference standard} for diagnosing cardiovascular disea…
Stochastic Prediction Equilibrium for Dynamic Traffic Assignment
Lukas Graf, Tobias Harks, Michael Markl
Stochastic effects significantly influence the dynamics of traffic flows. Many dynamic traffic assignment (DTA) models attempt to capture these effects by prescribing a specific ra…
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI
Zi Wang, Fanwen Wang, Chen Qin +29
Cardiac magnetic resonance imaging (MRI) has emerged as a clinically gold-standard technique for diagnosing cardiac diseases, thanks to its ability to provide diverse information w…
An Equilibrium Model for Schedule-Based Transit Networks with Hard Vehicle Capacities
Tobias Harks, Sven Jäger, Michael Markl +1
Modelling passenger assignments in public transport networks is a fundamental task for city planners, especially when deliberating network infrastructure decisions. A key aspect of…