Extension of Øresund Bridge maintenance contract
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Railway designs are often based on information collected several years before construction begins. During that time, conditions on and around the track may have changed. The Reality Model connects digital designs with an accurate representation of the current railway environment, helping project teams identify potential issues before work starts.
By combining detailed railway data in a single digital environment, the Reality Model supports smarter design validation, more efficient work preparation and reliable implementation of ETCS projects.

The role of the Reality Model in the design and implementation process of ETCS.
The Reality Model is a highly accurate 3D representation of the railway infrastructure and its surroundings. It includes relevant assets both above and below ground, creating a detailed picture of the existing situation.
The model brings together information from several sources, including:
The model acts as a single source of truth for project teams and stakeholders. Objects can be visualised in both 2D and 3D, depending on the user’s requirements.

Digital object visualisation (left) versus Real imagery visualisation (right).
Data for the Reality Model is collected using a specially equipped inspection vehicle. The vehicle can travel between regular train services, meaning data collection does not depend on track possessions. Its inspection systems create a 360-degree view of the track and its surroundings, including the subsurface.
Artificial intelligence and computer vision are used to interpret the collected data and recognise railway objects. Depending on the measurement technology, these can include:
Recognised objects are stored with their position, orientation and other relevant characteristics. This turns large quantities of measurement data into information that can be used directly during engineering, validation and work preparation.
Practical tests with engineering firm Arcadis demonstrated that data from the Reality Model could be integrated with CAD software used for ETCS design. During the test, inspection data and proposed asset positions were compared within the same digital environment.

Combining real track data with design data (source Arcadis).
The Reality Model also provides essential information for the ERTMS Trackbot, Strukton’s fully electric machine for installing Eurobalises and preparing the installation of axle counters.
The model helps determine:
After installation, the ERTMS Trackbot performs another scan to assess the result. The collected information supports quality verification and the creation of as-built project data.

ERTMS-Trackbot in action at Early Deployment Line (Harlingen, Netherlands).
The Reality Model enables railway organisations and project teams to:
By identifying potential issues digitally, the model also limits the need to collect information manually along the track, helping reduce exposure to safety risks.
The Reality Model creates a continuous digital connection between inspection, design, validation, work preparation, installation and as-built information. By checking ETCS designs against current track conditions, assets can be positioned correctly before implementation starts.
Future development will focus on expanding the model to other applications, optimising the tools and further increasing automation. In this way, the Reality Model can support a smarter, safer and more efficient rollout of ETCS and other railway projects.
Rail construction plays a crucial role in Europe’s shift towards low‑carbon mobility. By expanding and modernising electric rail infrastructure, the sector enables cleaner transport that produces significantly lower CO₂ emissions than road or air travel. At the same time, energy‑efficient work methods—such as using low‑emission machinery, hybrid traction systems and digital tools that extend asset life—help reduce the environmental footprint of construction activities. Together, these developments strengthen a sustainable mobility network and accelerate progress towards European climate goals.
In rail construction, highly specialised machinery ensures that work is carried out safely, efficiently and with minimal disruption. Typical equipment includes track‑laying trains, tamping machines, rail welding units, road‑rail excavators and ballast profiling systems, each designed to build or restore track structures with precision. These machines support both large‑scale track installation and daily maintenance operations. Innovations in automation and robotics are increasingly enhancing productivity and safety, helping infrastructure managers deliver consistent quality in a growing European rail network.
Safety is maintained through strict operational procedures in combination with modelling and prioritisation based on asset criticality. Intelligent asset management and real‑time monitoring technologies help identify risks at an early stage and ensure trains can continue to operate safely. These systems support long‑term investment planning and maintain the reliability of the rail network.
Because European rail networks are heavily used, maintenance is often carried out during night‑time or weekend possessions when fewer trains are running. High‑traffic lines require carefully planned maintenance windows to minimise service disruptions while ensuring infrastructure remains safe and in good condition.
Maintenance priority is determined using asset condition models and long‑term asset management strategies. This enables companies and railway managers to forecast the future state of critical rail components, helping planners intervene at the optimal moment. Intelligent asset‑management systems make it possible to compare scenarios, estimate remaining service life and plan renewals efficiently based on operational needs and strategic investment priorities.
Modern railway maintenance combines condition monitoring, inspection data, advanced algorithms and expert domain knowledge to support data‑driven decision‑making. Digital tools and predictive analytics help maintenance teams detect issues earlier, schedule interventions more effectively and continuously improve the maintenance cycle. These approaches are increasingly adopted across Europe to boost reliability and reduce unplanned downtime
The purpose of railway maintenance is to ensure the safety of passengers and train operations, prevent failures and delays, extend the lifespan of rail assets and avoid costly repairs by resolving issues early. Maintenance is vital for keeping high‑usage rail networks reliable and efficient, reducing disruptions and supporting sustainable rail operations.