Basic project details

• Implementation period: 1st February 2026 – 31st January 2028
• Project partners:
• Technology provider: PANTOhealth GmbH (GE)
• Project leader: Technical University of Berlin (GE)
• Pilot cities: City of Istanbul: Metro Istanbul (TR), Konya Metropolitan Municipality (TR), DKV Debrecen Public Transport Company (HU), Czech Technical University in Prague (CZ)
• Funded by EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union.

Purpose

PantoTech pilot introduces an AI-driven, predictive maintenance platform tailored to urban rail electrification.

Implementation

The project will integrate advanced vibration analysis with real-time monitoring of the three safety-critical OCS parameters required by light rail operators: height, zigzag, and wire thickness. By transforming raw operational data into actionable insights, PantoTech enables infrastructure managers to detect high-risk faults early, prioritise interventions, and shift decisively from reactive to proactive asset management.

The solution’s predictive monitoring reduces manual inspections, prevents service delays, and improves working conditions for maintenance crews. In the long term, cities will benefit from safer and more resilient public transport networks, extended infrastructure lifecycles, and lower operational costs. Beyond operational benefits, PantoTech supports more reliable tram and metro services, encouraging modal shift away from private cars, reducing congestion and emissions.