Verification and Validation Framework for Safe Railway AI Systems Across Their Lifecycle (VRAIL)
The VRAIL framework addresses challenges of AI-based safety-critical signaling systems with the goal to enable their certification
Beschreibung
The VRAIL framework addresses both regulatory and technological challenges, providing methods and techniques for AI-based safety-critical rail systems. It serves as an enabling technology for developing a certifiable AI-based signaling system, which is essential for fully automated train operations at Stadler.
Eckdaten
Projektleitung
Stellv. Projektleitung
Projektteam
Martin Rejzek, Stefan Brunner, Preami Uthayavathanan, Carmen Frischknecht-Gruber
Projektpartner
Stadler Signalling AG
Projektstatus
laufend, gestartet 11/2024
Institut/Zentrum
Institut für Angewandte Mathematik und Physik (IAMP)
Drittmittelgeber
Innosuisse - Innovationsprojekt
Projektvolumen
704'456 CHF
Publikationen
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Von Black Box zu Safety Evidence : Framework zur Sicherheitsargumentation für KI in Bahnsystemen
2026 Reif, Monika; Fernández Moguel, Leticia; Shin, Jiwon
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Assurance framework for safe and trustworthy AI in railway systems
2026 Müller, Manuel; Brunner, Stefan; Fernández Moguel, Leticia; Reif, Monika; Kälin, Tommy Lee
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From ODDs to simulation : automatic railway scenario generation
2026 Fernández Moguel, Leticia; Kälin, Tommy Lee; Reif, Monika; Shin, Jiwon
School of Engineering
Technikumstrasse 9
8400 Winterthur