enableATO

Official Project Name: "Automated Rail Transport as the Backbone for Sustainable, Connected Mobility in Rural Areas"

Project Duration: January 1, 2024 – December 31, 2026

Busieness Area: Vibration & Monitoring Technology

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The initiative focuses on enabling automated driving on rail infrastructure, combined with automated loading and unloading of people and goods. This requires technologies, methods, data, and evaluations that enable ATO (Automatic Train Operation) functions, meet safety and security requirements, and ensure highly intelligent, reliable, and predictive diagnostics and maintenance.

Project objective and description

The project “Automated Rail Transport as the Backbone for Sustainable, Connected Mobility in Rural Areas (enableATO)” is located at the RailCampus OWL in Minden. With a grant of 12.5 million euros from the Federal Ministry for Digital and Transport (BMDV), it aims to develop technologies for automated rail-based mobility concepts and research interfaces to other modes of transport. The ten project partners include universities, Fraunhofer institutes, and companies.

The initiative focuses on enabling automated driving on rail infrastructure, combined with automated loading and unloading of people and goods. This requires technologies, methods, data, and evaluations that enable ATO (Automatic Train Operation) functions, meet safety and security requirements, and ensure highly intelligent, reliable, and predictive diagnostics and maintenance.

Wölfel Engineering investigates condition and performance indicators based on vibration measurement data to enable continuous monitoring and condition-based maintenance of rail vehicles. This expertise contributes to increased operational safety and cost reduction.

"The analysis of vibration and acoustic data allows for a transition from cyclical to condition-based maintenance in the rail sector. Wölfel, with over 50 years of experience in vibration measurement and monitoring, develops precise condition and performance indicators (KPIs) based on vibration measurement data. enableATO enables further research in this area. In the future, continuous monitoring and condition-based maintenance of trainsets, freight wagons, tracks, and switches can be realized both on-site and remotely."

Dr.-Ing. Manuel Eckstein, Head of Predictive Maintenance & AI

The project is part of the German Mobility Center of the Future (DZM), which consolidates expertise in mobility research across the country. The RailCampus OWL connects research, education, and industry to develop the rail technology of the future and train skilled workers.

 


Bielefeld University

Paderborn University

Bielefeld University of Applied Sciences

OWL University of Applied Sciences and Arts

Fraunhofer Institutes (IOSB-INA and IEM)

Wölfel Engineering GmbH + Co. KG

DB Systemtechnik GmbH

HARTING Stiftung & Co. KG

Pilz GmbH & Co. KG

DB Cargo AG

WAGO GmbH & Co.KG

Funding Body: Federal Ministry for Digital and Transport (BMDV)

Funding Reference: 19DZ23002I

Lead Partner: TÜV Rheinland

 


Please contact me personally

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Do you have any questions? As the project manager at Wölfel for this project, I am available to answer any questions you may have about this research project.

Thomas Rief

+49 931 49708-368
rief@woelfel.de

Study

Bachelor of Science in Mechanical Engineering, Oregon State University (Corvallis, USA)
Dipl.-Ing. in Materials Science, Saarland University

Academic Degree

See above

Professional Motto

The work that pleases us becomes a pleasure.

Working at Wölfel

The colleagues are all very warm and open.