Research lines

Four areas where RAIL CoLAB brings together companies, universities and R&D centres to solve real problems in the railway system.

Sustainability

Energy management, resilient materials and eco-design of rolling stock and infrastructure.

Condition prognosis, maintenance supported by asset digitalisation, and decision support systems.

Advanced prognosis and health assessment at system level
Maintenance supported by asset digitalisation across the life cycle
Advanced decision support systems for holistic management, integration and cooperation
Specific, enhanced technologies for maintenance execution
Requirements and verified regulations for the design and renewal of assets enabling cost-effective maintenance
Condition-based and performance-based operation
Safety and legal aspects of AI-based asset management

Digital twins with predictive capability, and detection and alerting of safety-critical events.

AI digital twin for automated resource planning
Digital twin of rail equipment with prediction from simulation models fed by operational data
Common data environment based on digital twins and BIM
Integrated operation and maintenance management
Planning and control of new detection and alert systems
Safety-critical event detection and alerting
Alert and interface management

More bandwidth, lower latency and more secure communications for railway applications.