Technological Perspectives and Scientific Challenges of Automatic Train Operation
CSFM Seminar dedicated to exploring different technological perspectives and the remaining scientific questions around Automatic Train Operation.

Mini Conference
- Download M. Bolli: How quality can prevent innovation? (PDF, 5.2 MB)
- Download D. Frei: ATO in Switzerland - Current projects and challenges in the railway industry (PDF, 6.5 MB)
- Download J. Kley: More trains, better connections, higher availability - Rail traffic management using automatic train operation (PDF, 1.3 MB)
- Download M. Matthias: ATO – Technical Challenges from an operator’s perspective (PDF, 1.9 MB)
- Download M. Nold: Approaches for a more sustainable railway enabled by driving assistance systems (PDF, 2.4 MB)
- Download E. Quaglietta: Modelling and analysis of virtual coupling under dynamic and uncertain railway operations (PDF, 3.6 MB)
- Download S. Ricci: Automatic train operation on high frequency lines - Mitigation of aleatory factors to improve traffic regularity (PDF, 984 KB)
- Download M. Spindler: Brown field ATO - Are cost-efficiency and social sciences key? (PDF, 2.3 MB)
- Download G. Züger: Digital challenges of meter-gauge railways (PDF, 1.6 MB)
- Download A. Egloff: Mit ATO GoA2 durch den Knoten Zürich (PDF, 581 KB)
- Download A. Egloff: eCAB, automatisches Wenden beim RBS (PDF, 588 KB)
- Download D. Kouzoupis, J. Kavaja, A. Zanelli, I. Phendarkar, F. Corman: Real-time optimization for energy-efficient automatic train operation (PDF, 730 KB)
- Download M. Montigel: Non-scientific challenges and non-technological perspectives of automatic train operation (PDF, 960 KB)
- Download M. Nold, F. Corman: Driver assistances systems can help energy saving in railway operation (PDF, 474 KB)
- Download M. Nold, F. Corman: Dynamic mechanical coupling's potential for a more sustainable railway operation (PDF, 434 KB)
- Download B. Stöhr: More trains, better connections – ATO with Rail Traffic Management (PDF, 307 KB)
- Download A. Wagner: Impact of ETCS level 3 hybrid on railway operations (PDF, 289 KB)



























Michael Nold received the Dipl.-Ing. degree in mechanical engineering from the Karlsruhe Institute of Technology in 2014. He is currently pursuing the Ph.D. degree with the Chair of Transport Systems, Swiss Federal Institute of Technology, ETH Zurich. From 2014 to 2018, he was project manager and engineer with Rhaetian Railways in the rolling stock division. Responsible for the system areas of responsibility: developments, calculations and measurement technology.
Egidio Quaglietta is a tenured assistant professor at TU Delft and co-director of the Digital Rail Traffic Lab. He has been leading research on digital rail innovations including Moving Block, Virtual Coupling signaling and self-organsing rail traffic for European projects such as MOVINGRAIL, PERFORMINGRAIL and SORTEDMOBILITY. He has worked for international railway companies such as Ansaldo STS (now Hitachi STS), Network Rail and TrenoLab on simulation and optimization of rail signalling and operations. His main interests are in the areas of railway traffic and infrastructure optimization, innovative signaling technology and automated railway operations.
- Full Professor at Sapienza Università di Roma
- Dean of Transport Area
- Director of Post-Master Course in Railway Infrastructures and Systems Engineering
- Teaching: Transportation Science and Economy (BSc), Railway Engineering (MSc), Maritime Transport (MSc)
- Coordinator of rail and maritime transport research area
- Founder of University Spin-off Development & Innovation in Transport Systems
Dr Spindler's work focuses on software-based systems facing safety and security requirements. He is CEO of Sihl4 AG and contributes to the ERJU on behalf of Deutsche Bahn. He worked several years for Siemens and Thales, e.g., heading Thales' Swiss RAMS department for a decade during the Gotthard and Ceneri Tunnel projects. He contributed, e.g, to ERTMS, TSI, technical books, and is an IRSE member.