Annual Report 2025 – ÖBB-Infrastruktur AG

ÖBB-Infrastruktur Aktiengesellschaft Group Management Report | Consolidated Financial Statements 15 Work is also continuing on a knowledge bot called AskÖBB, which is designed to provide our staff with the best possible support using curated knowledge from documents and data. The use of Building Information Modelling (BIM) has been mandatory for all projects with a project contract since 01.01.2024. Currently, around 50 projects are being implemented using the BIM method. The objectives of the BIM roll-out are: – the automation of data flow between the project phases of planning, construction and maintenance, – the creation of a robust data foundation for the digital twin of the plant, thereby making it easier to locate plant information via GIS, including links to relevant documents, as well as – the implementation of efficiency improvements in project management. In addition to BIM, there are numerous other digitalisation projects at ÖBB-Infrastruktur AG. An “ÖBB Infra Data Factor” has been set up to maintain a comprehensive overview of data and make it available in a structured format. The Data Factory focuses on providing data at a high level of maturity for reuse through processes, methodologies and technical platforms. Among other things, this will improve predictive scenarios in the area of action planning and maintenance and enable data-driven decisions. Professional data management forms the basis for a virtual data image of ÖBB- Infrastruktur AG in a “Digital Twin” of ÖBB-Infrastruktur AG, which contains the track and route network and the systems installed on it. The digital twin represents data from a wide variety of sources within ÖBB. It creates a reference system to place the various perspectives – such as the structural, maintenance and operational perspectives – on data within a geographical and semantic context. When data is transferred in real time from operational business processes, it is cleaned and reconciled (resolving mapping issues, performing necessary data quality monitoring and performing the required data cleansing). This shared view of data would not be possible without a digital twin. The digital twin comprises, on the one hand, infrastructure data (topology, topography) and operational master data management (organisation and harmonised, secure provision of all necessary data) and, on the other hand, usage scenarios (routes / signals / train control systems) and dynamic events. Furthermore, in future, the digital twin will be aware of the planned use (production schedule) and actual use (train movements, track occupancy, closures, restrictions) of the infrastructure. By combining this data, ÖBB-Infrastruktur AG will be able to develop entirely new applications and gain new insights in the future. These include, for example, optimised maintenance through data-driven predictions regarding maintenance intervals and scope (predictive maintenance), long-term capacity simulations (planning and optimisation of network expansion), short- term, scenario-based capacity and timetable optimisation, optimised construction site planning, and scheduling support through automatic conflict detection and resolution. Another application can be found in the feasibility study for automated deviation management. In this respect, the digital twin is a key component of future digitalisation initiatives. ÖBB-Infrastruktur AG is actively shaping the digital transformation of rail operations. The expansion of train route checkpoints and the “Greenlight” train positioning service enable the precise tracking and monitoring of locomotives and trains. Around 1,600 vehicles belonging to ÖBB and external rail operators have already been fitted with the necessary Railpower boxes, meaning that they can use the positioning service. Other key projects include the implementation of the European Train Control System (ETCS) and new solutions in regional rail technology. With its BFS (Operational Management Strategy) programme, ÖBB-Infrastruktur AG is one of the pioneers in remote control and digitalisation. Older signal boxes are gradually being replaced by modern electronic and digital systems. As part of a further initiative, the “Digital Rail Operations – Phase 1 (DBB)” programme comprises five projects aimed at optimising train control. TRAKSYS is developing a new system for precise route construction. PORTHOS is digitising train preparation. The digitalisation of operational processes improves rail operations by providing systematic support. Adaptive Train Control (AZL) optimises train operations through automated recommendations. The infraDOAS app provides train drivers with information relevant to their journey. The aim is to improve efficiency, safety and punctuality. High-performance data and mobile networks are a key prerequisite for digitalisation. ÖBB-Infrastruktur AG is, therefore, driving forward the introduction of the Future Railway Mobile Communication System (FRMCS) through pilot projects and is pushing ahead with the expansion of public mobile communications along the rail network. Simultaneously, cybersecurity is enhanced through targeted segmentation of the data network in order to effectively protect business- critical infrastructure.