UNIFE calls for European platform on rail digitalisation
The Association of the European Rail Industry (UNIFE) considers digitalisation inevitable for the rail sector development. To support and facilitate the process, the European Commission should establish a coordinated approach towards digital technologies, prepare a...Read more
‘Railways go to modularity, interconnectivity and technologies’
Monika Heiming, Executive Director at European Rail Infrastructure Managers (EIM Rail), spoke about predictive maintenance at the RailTech Europe Conference, held in the Netherlands last week. “Efficient predictive maintenance is key to increase the performance...Read more
Liveblog RailTech Europe 2019 Day 3 – Predictive maintenance in rail
Thursday 28 March is the third day of RailTech Europe at Jaarbeurs Utrecht. Today’s topic is predictive maintenance in rail. In this liveblog you can read everything that happens at this big rail event. 16.20: The...Read more
Algorithm leads to breakthrough in measuring trackside trees
Data scientist Anahita Khosravipour has developed an algorithm which measures the size, shape and height of trees next to a track, as well as how close they are to the track. The algorithm has a...Read more
IT solutions become crucial for development of railway infrastructure
The railway industry becomes more and more interrelated with IT solutions. Several European countries have already implemented some, while others are just thinking about it. What are the advantages of IT solutions for infrastructure asset...Read more
Railway operators and track managers join forces in infrastructure measuring
Railway infrastructure monitoring becomes more and more sophisticated. Infrastructure managers analyse not only the conditions of the rails but also the trains running on it. Sometimes, infrastructure managers know more about the rolling stock of...Read more
TU Vienna creates model to predict service life for tram infrastructure
Until recently, Viennese tram operator Wiener Linien had no centralized database containing net-wide infrastructure data. After implementing an infrastructure database, the operator is now working with the Technical University of Vienna to create a model...Read more
‘Regulations block optimal use of big data’
Much more can be done with data than is currently the case, but regulations get in the way, says Sytse Bisschop from Dutch infrastructure manager ProRail. Data can only be used optimally if regulations keep...Read more
‘Use machine learning to predict track maintenance’
Machine learning is an important asset to predict where track maintenance will be needed, Dirk Bothof of Asset Insight says. Machine learning is an artificial intelligence technique that gives computers the ability to learn. Asset...Read more
New methodology for rail grade selection
Dekra Rail and Delft University of Technology are currently investigating to develop a new methodology which will predict the expected damage development of a rail over time depending on the occurring load. The goal of...Read more
RailTech Europe 2017 – Day Three review
The third and final day of RailTech Europe 2017 was based on Predictive Maintenance of Rail Infrastructure, and its increasing importance in delivering efficient working practices, cost savings and enhanced safety. Launching proceedings was Marc Antoni,...Read more
Rail sector works collectively on one information model
Currently, rail sector businesses are still talking in different ways about track switches. Programme Manager Raymond Soeters and CIO Office Manager Arjen Boersma from ProRail believe that it must soon all be in one standard...Read more
Maintenance vs total renewal – a methodology for assessing track ballast condition
Take any train journey and it is guaranteed there is one thing that everyone will notice. Stones. Without those stones – or the ballast – you are not going anywhere. By supporting the rails and...Read more