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TAURO · Project

Self-Driving Train Technologies That Cut Crew Costs and Boost Rail Capacity

transportTestedTRL 5

Imagine trains that can "see" their surroundings, detect obstacles on the track, and drive themselves — much like self-driving cars, but on rails. TAURO brought together 24 companies and research groups across Europe to build the foundational tech for this: cameras and sensors that understand what's ahead, remote control rooms where one operator can supervise multiple trains, and onboard systems that constantly check whether the train is healthy. Think of it as giving trains their own eyes, a remote pilot, and a built-in mechanic — all working together so trains can eventually run without a driver in the cab.

By the numbers
24
consortium partners across Europe
8
countries represented in the consortium
21
industry partners (88% of consortium)
15
project deliverables produced
4
core technical work packages covering autonomous rail capabilities
The business problem

What needed solving

European rail operators face growing pressure from driver shortages, rising crew costs, and the need to run more trains on existing tracks without expensive infrastructure expansion. Meanwhile, rail must compete with road freight and air travel on cost and frequency. Autonomous train operation could solve all three — but the technology needs to work with existing European signalling standards, not replace them.

The solution

What was built

TAURO produced 15 deliverables across four technical areas: environment perception sensors for obstacle detection, remote driving and command systems for supervising trains from a control centre, automatic onboard health monitoring and diagnostics, and migration technologies for layering Automatic Train Operation on top of existing ETCS signalling. A live demonstrator was showcased at InnoTrans 2022.

Audience

Who needs this

National and regional rail operators looking to reduce crew dependencyRolling stock manufacturers (OEMs) building next-generation trainsRail signalling and ETCS system integratorsUrban metro and light rail operators pursuing driverless operationRail freight companies seeking automated yard and mainline operations
Business applications

Who can put this to work

Rail operators and transit authorities
enterprise
Target: National or regional rail operators running passenger or freight services

If you are a rail operator struggling with driver shortages and rising crew costs — this project developed environment perception systems and Automatic Train Operation (ATO) migration technologies that let trains run with reduced onboard staff. With 24 industry partners validating the approach and a live demonstrator shown at InnoTrans 2022, these technologies are designed to plug into existing ETCS signalling, meaning you don't have to rip out your current infrastructure.

Rail rolling stock manufacturers
enterprise
Target: Train builders and system integrators supplying rail vehicles

If you are a rolling stock manufacturer looking to offer next-generation autonomous-ready trains — this project built automatic status monitoring and diagnostic systems for autonomous operation. The consortium, led by CAF (a major train builder), produced 15 deliverables covering everything from sensor fusion to remote driving. Integrating these modules into your product line could differentiate your offering in tenders requiring Grade of Automation 3 or 4.

Rail signalling and control systems
mid-size
Target: Companies providing ETCS, interlocking, or traffic management solutions

If you are a signalling company needing to support the migration from conventional ETCS to ATO — this project specifically tackled ATO-over-ETCS migration technologies. With 21 industry partners from 8 countries testing interoperability, the results give you a validated technical roadmap. The InnoTrans 2022 demonstrator proved that these layers can work on top of existing European signalling standards.

Frequently asked

Quick answers

What would it cost to adopt these autonomous rail technologies?

The project data does not include specific licensing fees or adoption costs. Since the coordinator is CAF (a major rolling stock OEM) and the consortium includes 21 industry partners, commercial terms would likely be negotiated directly with the technology providers. Contact SciTransfer for an introduction to discuss pricing.

Can these technologies scale to a full national rail network?

The technologies were designed with European-wide deployment in mind, built on top of the existing ETCS standard so they can scale across any ETCS-equipped network. The consortium spans 8 countries and 24 partners, which tested cross-border interoperability. However, full certification and regulatory approval would still be needed for commercial deployment at scale.

Who owns the intellectual property and can I license it?

As a Horizon 2020 RIA project, IP typically stays with the partner that generated it. With 21 industry partners in the consortium — including major rail companies — licensing arrangements would need to be discussed with the specific technology owner. SciTransfer can help identify which partner holds the IP you need.

Is this compatible with current European rail signalling?

Yes. One of the four core work packages specifically addressed migration to ATO over ETCS, meaning these autonomous technologies are designed to layer on top of existing European Train Control System infrastructure. This avoids a costly rip-and-replace approach.

What was actually demonstrated and how mature is the technology?

A live demonstrator was shown at InnoTrans 2022, the world's largest rail industry trade fair. The project covered environment perception sensors, remote driving command systems, and automatic onboard diagnostics. Based on available project data, the technology reached demonstration level but would need further development and certification for commercial deployment.

What regulations apply to driverless trains in Europe?

The project worked to feed its results into standards and regulatory bodies to ensure future policy decisions are science-based. However, autonomous rail operation still requires approval from national safety authorities under ERA oversight. The TAURO results are designed to support the Shift2Rail and its successor programme for eventual certification.

Consortium

Who built it

This is a heavily industry-driven consortium: 21 out of 24 partners are private companies, giving it an 88% industry ratio — unusually high even for rail projects. The coordinator is CAF (Construcciones y Auxiliar de Ferrocarriles), one of Europe's largest train manufacturers, headquartered in Spain. The 8-country spread across Central and Western Europe (AT, BE, CH, CZ, DE, ES, FR, IT) covers the major European rail markets. Notably, there are zero universities — all academic-style work is handled by 2 research organizations. Only 1 SME is involved, reflecting the capital-intensive nature of rail technology. For a business looking to engage, this means the technology was developed by companies that build, operate, and maintain railways — not ivory-tower research. The results are designed for industrial adoption.

How to reach the team

CAF (Construcciones y Auxiliar de Ferrocarriles, S.A.) based in Spain — SciTransfer can facilitate a direct introduction to the project team.

Next steps

Talk to the team behind this work.

Want to explore how TAURO's autonomous rail technologies could fit your operations? SciTransfer connects businesses with the right research teams. Contact us for a tailored briefing and introduction.

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