3 papers
cs.AI2026
Towards Autonomous Railway Operations: A Semi-Hierarchical Deep Reinforcement Learning Approach to the Vehicle Rescheduling Problem
Alberto Castagna, Stefan Zahlner, Adrian Egli +4
Managing disruptions in railway traffic management is a major challenge. Rising traffic density and infrastructure limits increase complexity, making the Vehicle Routing and Schedu…
cs.CY2025
A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures
Milad Leyli-abadi, Ricardo J. Bessa, Jan Viebahn +13
The interaction between humans and AI in safety-critical systems presents a unique set of challenges that remain partially addressed by existing frameworks. These challenges stem f…
cs.AI2025
Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control
Yassine El Manyari, Anton R. Fuxjager, Stefan Zahlner +5
Power grid operators face increasing difficulties in the control room as the increase in energy demand and the shift to renewable energy introduce new complexities in managing cong…