Reduce Rail Costs at the Source
Traila’s active steering system addresses wear, vibration and noise directly at the wheel–rail interface, cutting maintenance costs, extending service life and reducing environmental impact.
Silence by Design
By actively aligning wheelsets to the rail path, Traila’s steering technology eliminates misalignment, cutting curve noise, structure-borne vibration, and wheel squeal. Proven in field tests to reduce acoustic intensity by up to 3x, this is a step-change in urban ride comfort and neighborhood quality of life.
Up to 2x longer wheel and infrastructure lifespan
By actively adjusting the wheelsets during operation, Traila significantly reduces wear and tear on both wheels and rails, which considerably extends the life cycle of the infrastructure.
Up to 80% maintenance cost reduction
Traila technology aims to set new benchmarks in urban rail efficiency, driving down operational and maintenance costs for railway operators.
Less noise.
Less pollution.
Cleaner planet.
Active steering significantly reduces noise, vibration, particulate matter and energy consumption, thereby improving the quality of life for people living near rail lines and contributing to sustainable mobility.
Up to 94% Less Wear
Through precise curve guidance, Traila’s active steering reduces the lateral forces that grind wheels and rails. Multibody simulation and field data confirm up to 94% reduction in total wear, extending asset life, cutting maintenance costs, and reducing reprofiling by orders of magnitude.
Localization Without Limits
Traila delivers high-precision localization independent of GPS, infrastructure, or weather. Through sensor fusion and inductive mapping, it achieves ±20 cm accuracy, providing the foundation for active steering, smart lubrication, autonomous train control, and network optimization.
Simulation Drives Every Decision
Simulation is at the core of our engineering. Traila’s digital twin platform simulates rail behavior under real-world conditions – wear, dynamics, fatigue – across vehicle and track. This allows us to validate every configuration before deployment and optimize for performance, safety, and cost.
