Research: Optimisation of Train Availability

In 2017, the average peak hour train availability was 88% for all CoMET and Nova members. Main causes of train unavailability were planned preventive maintenance, unplanned corrective maintenance, refurbishments and major damages. The biggest constraint to train availability is related to train reliability issues, specifically train failures occurring outside of peak hours which cannot be repaired in time.

The study foucused on the four maintenance and operational approaches that are utilised by metros to optimise train availability: allocation of train maintenance, outsourcing train maintenance, flexibility in operations, and introduction of remote condition monitoring.

Metros’ biggest successes or their future plans in terms of improving train availability are related to optimisation of maintenance work to improve reliability, train refurbishment plans, and introduction of remote condition monitoring on trains.