SciTransfer
FP2 - R2DATO · Project

Digital Automation for Higher Capacity and Autonomous European Train Operations

transportTestedTRL 5

Imagine if trains could talk to each other and the tracks in real-time to drive themselves, much like a high-tech convoy. This removes the need for old-fashioned signals and allows trains to run closer together safely. It's like upgrading a city's traffic lights to a smart system that manages every car's speed and position automatically.

By the numbers
79
Consortium partners
12
Countries involved
72%
Industry ratio in consortium
2025
Expected delivery year for tangible results
The business problem

What needed solving

European rail networks suffer from limited capacity and outdated signaling, leading to poor punctuality and inefficient use of rolling stock and infrastructure.

The solution

What was built

A prototypical TCMS DataService (TRL 4-5) and specifications for 5G-connectivity, Moving Block ETCS L3, and a standardized onboard ICT-platform.

Audience

Who needs this

National Railway Infrastructure ManagersRolling Stock ManufacturersTrain Operating CompaniesRail Signaling System Suppliers
Business applications

Who can put this to work

Rail Infrastructure
enterprise
Target: National Rail Network Manager

If you are a network manager dealing with congested tracks and limited capacity — this project developed Moving Block ETCS L3 and autonomous route setting that increases the number of trains that can run on the same line.

Rolling Stock Manufacturing
enterprise
Target: Train Manufacturer

If you are a manufacturer dealing with fragmented onboard IT systems — this project developed a standardized onboard ICT-platform and 5G-connectivity to make trains smarter and easier to upgrade.

Rail Logistics
any
Target: Freight Rail Operator

If you are a freight operator dealing with low punctuality and inefficient braking — this project developed optimized braking performance for low adhesion conditions to ensure reliable delivery schedules.

Frequently asked

Quick answers

What is the cost or price of implementing these systems?

Based on available project data, specific pricing is not provided, but the project focuses on developing guidelines for fast and cost-effective deployment and migration.

Can this be scaled to an industrial level?

Yes, the project involves 79 partners across 12 countries and aims for scalable Digital and Automatic Train Operation capabilities across European networks.

Who owns the IP and how is licensing handled?

Based on available project data, IP and licensing details are not specified, though the project is coordinated by SNCF with a large industrial consortium.

What are the regulatory hurdles for autonomous trains?

The project specifically addresses legal issues and develops innovative modelling techniques for automatic approval and certification to speed up deployment.

When will the results be available for business use?

Tangible results on key topics like ATO and ETCS Hybrid level 3 are expected to be delivered by 2025.

Consortium

Who built it

The project is heavily industry-driven, with 57 industrial partners representing a 72% ratio of the 79 total members. This high concentration of industry players, coordinated by SNCF and spanning 12 countries, suggests the results are designed for immediate commercial application rather than theoretical research, with only 5 universities involved.

How to reach the team

Contact SOCIETE NATIONALE SNCF regarding the R2DATO consortium

Next steps

Talk to the team behind this work.

Contact SciTransfer to identify specific technology providers within the 79-partner consortium.

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