The European Green Deal has promoted the use of rail transportation to combat the climate crisis. However, global climate change poses significant challenges to the safety and reliability of rail operations, as well as to the resilience of railway infrastructure. The RAILCLIMA at Tampere University aims to transform current railway technology—including train control, signaling systems, and maintenance—by integrating climate considerations into their development and implementation. The project combines a computer vision approach with model-based estimation, creating a novel, interdisciplinary method for real-time wheel-rail friction monitoring. This innovation will enhance railway system performance by running computational models directly on in-service trains, using their outputs to optimize train dynamics and enable data-driven maintenance. Furthermore, the use of cost-effective instrumentation and shared computational analysis systems will help vehicle manufacturers to reduce cost.

2026

2030