The challenges of maintaining railway infrastructure have never been greater nor more critical. Today, many transport companies rely on visual inspections and dedicated fleets of maintenance trains to find out what’s compromising the network.
With aging rail infrastructure under strain and a shortage of skilled maintenance workers, a more efficient method is crucial to manage the extensive network of tracks, overhead lines, and surroundings.
HMAX for Infrastructure from Hitachi Rail uses sensors fitted on existing fleets of passenger and freight trains to bring data about track health, ride quality, overhead lines and vegetation into a single platform.
By using machine learning and AI to monitor and capture the health of railway infrastructure, transport operators can now optimize operating costs while increasing the reliability of the railway ecosystem.
HMAX for Infrastructure