🔗 Important Links discussing AI at Railways
This curated collection features the most important links to cutting-edge railway AI developments, research, and innovations.
RAILS (Roadmaps for A.I. Integration in the Rail Sector)
This website presents the RAILS project, a three-year EU-funded initiative exploring how Artificial Intelligence can enhance next-generation signalling, operational intelligence, and network management in the rail sector.
McKinsey: The journey toward AI-enabled railway companies
The McKinsey article ‘The journey toward AI-enabled railway companies’ explores how analytical and generative AI can unlock $13–22 billion annually for railways worldwide by transforming operations, maintenance, passenger services, and support functions, while highlighting key success factors for scaling AI adoption.
RailML
https://en.wikipedia.org/wiki/RailML
railML (Railway Markup Language) is an XML-based data exchange format developed by railML.org to enable standardized, interoperable sharing of railway data—including timetables, infrastructure, rolling stock, and signaling—across diverse railway IT systems, reducing costly custom interfaces and fostering digital integration in the rail industry.
UIC: The journey toward AI-enabled railway companies
A 2024 UIC–McKinsey report details how railways are increasingly adopting AI and generative AI to improve operations, passenger experience, and infrastructure management, identifying around 20 key use cases that could unlock $13–22 billion annually for the industry, while emphasizing the need for strong governance, talent, and partnerships to achieve successful deployment.