Berlin Digital Rail Operations

January 2021 – July 2024

This project is funded by the state of Berlin within the innovation support program ProFIT.

BerDiBa aims to implement a holistic digital twin for rail operations. This should integrate status data of the vehicles and the interior as well as environmental data and real-time data on the infrastructure. A wide variety of sensor systems and innovative signal processing methods such as neural networks are used. On the basis of real-time data and artificial intelligence, digital, fully automated control of rail operations is to be implemented in the future

Project Partners

  • Siemens Mobility
  • Technical University of Berlin
  • Fraunhofer FOKUS
  • DFKI
  • ZIB
  • ITQ GmbH
  • acs plus GmbH
  • Teraki GmbH
  • AAI GmbH
  • GSP Sprachtechnologie GmbH
  • neurocat GmbH


[1] Christian Berghoff, Battista Biggio, E. Scott Brummel, Vasilios Danos, Thomas Doms, Heiko, Ehrich, Thorsten Gantevoort, Barbara Hammer, Joachim Iden, Sven Jacob, Heidy Khlaaf, Lars, Komrowski, Robert Kröwing, Jan Willem Hendrik, Poretschkin, Wojciech Samek, Hendrik Schäbe, Arndt von Twickel, and Martin T. Vechev. “Towards Auditable AI Systems Current status and future directions“ based on the workshop “Auditing AI-Systems: From Basics to Applications”. In: 2021.