Assets4Rail · Project

Smart Sensors and AI That Predict When Railway Bridges, Tunnels, and Tracks Need Fixing

transportPilotedTRL 6

Imagine railways could tell you exactly when a bridge is getting tired or a tunnel wall is cracking — before anything breaks. This project equipped bridges, tunnels, and tracks with smart sensors that feed data into a 3D digital twin, and used deep learning to spot problems early. They also put cameras trackside to automatically detect defects on passing trains, plus RFID tags to identify which train car has the issue. The result is a system that shifts railway maintenance from "fix it when it breaks" to "fix it before it breaks."

By the numbers

consortium partners across the project

countries represented in the consortium

industry partners involved

SMEs in the consortium

58%

industry participation ratio

TRL 6

validation level for train monitoring system

TRL 5

validation level for track geometry sensor system

The business problem

What needed solving

Europe's railway infrastructure is aging while traffic demands keep growing. Bridges fatigue, tunnels develop cracks, tracks shift, and trains develop defects — all of which are currently caught too late through scheduled inspections or after failures occur. This reactive approach causes expensive emergency repairs, service disruptions, and safety risks.

The solution

What was built

The project delivered validated sensor systems for monitoring bridge fatigue, tunnel defects, and track geometry, all integrated into a BIM-based digital twin platform. They also built an automated trackside imaging system for detecting train defects (TRL 6) and a track geometry sensor system (TRL 5), plus RFID-based train identification and deep learning algorithms for processing the collected data.

Audience

Who needs this

National railway infrastructure managers (e.g., Network Rail, DB Netz, ADIF)Rolling stock operators and train leasing companiesRailway maintenance contractors and service providersStructural health monitoring technology companies expanding into railSmart city and transport authorities modernizing rail networks

Business applications

Who can put this to work

Railway infrastructure management

enterprise

Target: Railway infrastructure operators and maintenance contractors

If you are a railway infrastructure manager dealing with aging bridges and tunnels that require costly reactive repairs — this project developed sensor-equipped monitoring systems integrated into a 3D/4D/5D/6D BIM platform that detect subsurface tunnel defects, bridge fatigue, noise, vibrations, and track geometry issues in real time. The train monitoring system was validated at TRL 6, meaning it has been demonstrated in a relevant operating environment.

Rail vehicle maintenance

enterprise

Target: Rolling stock operators and train maintenance companies

If you are a rolling stock operator struggling with unplanned train failures and costly unscheduled maintenance — this project built an automated trackside and underframe imaging system that detects defects on passing trains, combined with RFID identification of individual vehicles and components. Deep learning algorithms process the large data volumes to flag problems before they cause service disruptions.

Civil engineering and structural monitoring

mid-size

Target: Structural health monitoring technology providers

If you are a structural monitoring company looking to expand into railway infrastructure — this project validated sensor systems for bridge fatigue monitoring, tunnel defect detection, and track geometry measurement, all integrated into a BIM-based digital twin platform. The sensor system for track geometry was validated at TRL 5, offering a near-market-ready solution for integration into your product line.

Frequently asked

Quick answers

What would it cost to implement these monitoring systems?

The project data does not include specific pricing or cost-per-unit figures. However, the entire system was designed for cost-effective maintenance — meaning the investment is intended to pay for itself through reduced emergency repairs and optimized maintenance scheduling. Contact the consortium for pricing details.

Can these systems scale to a full national rail network?

The systems were validated at TRL 5-6, meaning they have been demonstrated in relevant environments but have not yet been deployed network-wide. The consortium of 24 partners across 11 countries provides a strong foundation for scaling across European rail networks. The BIM-based platform is designed to integrate data from multiple sensor types across distributed infrastructure.

Who owns the IP, and can I license these technologies?

The project involved 24 partners including 14 industry organizations and 6 SMEs. IP ownership is typically shared among consortium members according to contribution. Licensing arrangements would need to be negotiated with the specific technology owners — the coordinator FUNDACIO EURECAT (Spain) can direct you to the right partner.

Does this comply with European railway safety regulations?

The project was funded under the Shift2Rail programme (topic S2R-OC-IP3-01-2018), which is the EU's dedicated railway innovation initiative. This alignment with the official EU rail research agenda means the technologies were developed with European regulatory requirements in mind. Specific certification steps would depend on the national railway authority.

How long before these technologies are ready for commercial deployment?

The project ended in December 2021. The train monitoring system reached TRL 6 (demonstrated in relevant environment), while sensor systems for track geometry and signalling diagnostics reached TRL 5 (validated in relevant environment). Some components may already be available through consortium partners; others may require 1-2 years of additional engineering for full commercial deployment.

Can these systems integrate with our existing railway management software?

The project built an integrated BIM platform (3D/4D/5D/6D) as its central data hub, designed to gather and analyze information from all sensor types. This standards-based approach should facilitate integration with existing asset management systems, though specific compatibility would depend on your current infrastructure.

Consortium

Who built it

Assets4Rail assembled a large consortium of 24 partners from 11 countries, with a strong industry orientation — 14 industry organizations (58% of the consortium) and 6 SMEs. This signals serious commercial intent beyond pure research. The coordinator, FUNDACIO EURECAT from Spain, is a major technology center. The geographic spread across Austria, Czech Republic, Germany, Greece, Spain, Finland, Italy, Lithuania, Serbia, Slovenia, and the UK covers most major European railway markets. With 4 universities and 6 research organizations providing the science, and 14 industry partners ready to commercialize, this consortium is well-positioned to bring validated technologies to market.

FUNDACIO EURECATCoordinator · ES
VILNIAUS GEDIMINO TECHNIKOS UNIVERSITETASparticipant · LT
AITEC ASESORES INTERNACIONALES SRLparticipant · ES
UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZAparticipant · IT
FERROVIE DELLO STATO ITALIANE SPAparticipant · IT
OLTIS GROUP ASparticipant · CZ
RETE FERROVIARIA ITALIANAthirdparty · IT
AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBHparticipant · AT
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXISthirdparty · EL
EURNEX e. V.participant · DE
ASOCIACION DE INVESTIGACION METALURGICA DEL NOROESTEparticipant · ES
TRENITALIA SPAthirdparty · IT
SENER INGENIERIA Y SISTEMAS SAparticipant · ES
UNIVERSITY OF LEEDSparticipant · UK
TECHNISCHE UNIVERSITAT BERLINparticipant · DE
BEXEL CONSULTING DOO BEOGRADparticipant · RS
ZAVOD ZA GRADBENISTVO SLOVENIJEparticipant · SI

How to reach the team

FUNDACIO EURECAT (Spain) — a major technology center that can connect you with the right technology partner within the 24-member consortium

Order a report on this consortium See FUNDACIO EURECAT profile →

Next steps

Talk to the team behind this work.

Want to connect with the Assets4Rail team about their railway monitoring technologies? SciTransfer can arrange a direct introduction to the right consortium partner for your specific needs.

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