Railways are harvesting increasing volumes of data on the performance of their assets, but converting raw data into meaningful insights remains a challenge for many organisations in the industry. Keith Barrow reports from Munich on how suppliers, tech companies, train operators and infrastructure managers are harnessing the power of data through advanced asset management systems.
German Rail (DB) is hailing the transformational impact of digitalisation on rail transport. But how is it preparing its staff for these radical changes in its business practices and everyday operations? Kevin Smith looks at how DB Training is implementing a new approach to learning as part of DB’s 2020 strategy.
Systems are already available which can improve asset utilisation, cut operating costs, reduce the incidence of derailments, and improve efficiency. Ben Crowe and Maggie Hopkins from Wi-Tronix states the case for their wider application so that railways can improve their competitive position.
A team from Tokyo Metro and Chiba Institute of Technology have used data mining techniques to develop an algorithm to identify primary delays which occur frequently and have a big impact on the punctuality of succeeding trains. Hideyuki Yabuki, Keisuke Uchikoshi, and Norio Tomii* explain how the algorithm can be used.
INNOVATION is the key to success as it will improve our competitiveness by providing leading-edge technologies. We have to make sure we are always one step ahead of others when it comes to technology and know-how - especially in the areas of energy efficiency, productivity/throughput, asset utilisation, improvements in infrastructure and rolling stock availability, travel experience for passengers, and, last but not least, climate and environmental friendliness.