Digital Systems & Software — The railway's digital layer
Digital systems now govern the operational core of European rail — managing fleets, monitoring assets, automating decisions, and carrying the traffic data on which safety and capacity depend.
Digitalisation in rail is not primarily about passenger-facing services. The operational systems that matter are those managing train movements, monitoring rolling stock condition, scheduling maintenance, and communicating between trains and control centres.
The layers: from fleet management to AI
The digital stack runs from fleet management systems at the top — giving operators a real-time picture of train locations and performance — down to embedded sensors and onboard control systems.
Asset management software tracks component condition and history across full lifecycles. Predictive maintenance platforms analyse sensor data to identify failure risk before a component fails.
Above these operational layers sit planning tools, traffic management systems, and applications using machine learning to optimise scheduling, energy use, and delay recovery.
Automatic Train Operation (ATO) automates driving within defined parameters and can tighten headways beyond what manual driving allows. Germany’s Digital Rail Germany programme combines ATO with the European Train Control System (ETCS) and digital interlockings, with Deutsche Bahn targeting a capacity increase of up to 35% on existing infrastructure.
Why data is hard to use
Rail operates across dozens of national networks, hundreds of operators, and fleets built over multiple decades with incompatible data architectures. A train crossing three countries may generate operational data in three formats that no single system can read in real time.
Much of Europe’s signalling and control infrastructure was designed before interoperability was a design criterion. Retrofitting data connectivity onto existing fleets and trackside equipment is technically feasible but expensive.
The result is that data exists in volume — modern rolling stock generates sensor data continuously — but is often siloed within individual operators, maintenance depots, or national networks.
EU-Rail research published in 2024 indicates that predictive maintenance can improve reliability by 20–30% through reduction of unplanned maintenance and service disruptions, but achieving those gains depends on data that is consistent, accessible, and well-labelled. Many operators have not yet reached that baseline.
Investment and direction
Europe’s Rail Joint Undertaking (EU-Rail), established under the Horizon Europe programme and successor to the Shift2Rail initiative, is the primary EU-funded vehicle for rail digitalisation research and innovation. Its budget under Horizon Europe runs to EUR 1.2 billion.
EU-Rail’s A Future Policy-Based Public-Private Partnership for Rail (adopted June 2025) proposes EUR 18 billion in combined public and private investment from 2028 to 2034, with EUR 3 billion earmarked for research and innovation and EUR 15 billion for pre-deployment of harmonised technologies — what the paper describes as a strategy for European technological sovereignty.
Cybersecurity has become a mandatory dimension of rail digitalisation. The EU’s NIS2 Directive (Directive 2022/2555) entered into force in January 2023; binding obligations for railway undertakings and infrastructure managers — classified as essential entities — became enforceable from October 2024 following Member State transposition.
The integration of digital systems into safety-critical operations creates validation obligations that slow adoption relative to most other industries. Closing the gap between what digital systems can theoretically deliver and what is operationally deployed requires validated technical standards and clearer regulatory pathways for software-driven safety systems.