AI sensors and digital twins catch hidden rail faults and cut fleet costs in three European transit pilots

AI-powered sensors and digital twins have been tested in three European transit pilots, detecting hidden rail faults and reducing fleet costs.

The pilots, conducted by a consortium of European rail companies, used AI-powered sensors to monitor rail tracks and identify potential faults.

The data was then fed into digital twins, which simulated the rail network and predicted the likelihood of faults occurring.

The system was able to detect hidden faults, reducing maintenance costs and improving rail safety in the three pilot regions.