Climate-Aware Wheel–Rail Condition Monitoring
The RAILCLIMA integrates the climate change considerations into the development of railway technology, such as train control (both human and automatic), signaling, and maintenance, through real-time estimation of wheel–rail friction conditions.
It adopts an interdisciplinary approach that combines computer vision with model-based estimation using data collected from operational vehicles. This smart system will provide real-time insights into the effects of weather conditions on train dynamics and their impact on asset life cycles.
Academy Research Fellowship 2026 funded by Research Council of Finland. Applicant: Tampere University. (2026-2030)
Industry partners to provide in-kind contribution through the project
International collaborators
