Railway systems play a vital role in the world's economy and movement of goods and
people. Rail tracks are one of the most critical components needed for the uninterrupted …

Conventional planning of maintenance and renewal work for railway track is based on
heuristics and simple scheduling. The railway industry is now collecting a large amount of …

During the regular service life of high‐speed railway (HSR), there might be serious defects
in the concrete slabs of the infrastructure systems, which may further significantly affect …

Rail network velocity is defined as system-wide average speed of line-haul movement
between terminals. To accommodate increased service demand and load on rail networks …

Abstract Machine learning has taken a front seat in railway big data analysis. This is partly
due to perpetual data collection and the need for automated systems to expedite …

In the railway domain, rolling stock maintenance affects service operation time and
efficiency. Minimizing train unavailability is essential for reducing capital loss and …

In this paper, a decision support approach is proposed for condition-based maintenance of
rails relying on expert-based systems. The methodology takes into account both the actual …

Track quality affects passenger comfort and safety. To maintain the quality of the track, track
geometry and track component defects are inspected routinely. Track geometry is inspected …

Computer vision based methods have been explored in the past for detection of railway
track defects, but full automation has always been a challenge because both traditional …

Railway track health monitoring and maintenance are crucial stages in railway asset
management, aiming to enhance the train operation quality and service life. For this aim …