The RemODtrAIn consortium (“Remote operated train with AI-based Obstacle Detection”), coordinated by Siemens Mobility, is developing and testing a safe remote train operation system in depots, together with an AI module for obstacle detection. The project builds on the results of previous initiatives such as AutomatedTrain and safe.trAIn and expands the collaboration with Deutsche Bahn.
As part of the program, an ICE 4 will be equipped with state-of-the-art 5G technology, which will enable control of the train from an operations center located inside the depot.
Tests will take place at the ICE depot in Cologne-Nippes, and the communications and sensor part will also be evaluated at the Smart Rail Connectivity campus in Annaberg-Buchholz, using a Desiro Classic. The
consortium’s goal is to ensure safe, reliable, and available remote operation even under the variable conditions of public 5G networks.
The project is receiving EUR 17 million in financial support through a government program.
Support for automation and addressing staff shortages
“With RemODtrAIn, we are advancing automated operation in the railway environment. Our goal is to make remote operation in depots safe, efficient, and scalable,” said Marc Ludwig, CEO Rail Infrastructure at Siemens Mobility.
Siemens is responsible for defining the requirements, developing the remote control system, and integrating it into practical tests.
Dr. Jasmin Bigdon, CTO of Deutsche Bahn AG, said the project represents “an important step toward remote control and automation of maneuvers.”
DB is pursuing a pragmatic solution, adapting processes and integrating tests into real-world situations.
Several entities of the DB Group are involved: DB Fernverkehr, DB RegioNetz Infrastruktur, and DB Systemtechnik.
Operational testing and modular architecture for the future
RemODtrAIn focuses on depot movements, parking, and train availability. Vehicle sensors are being developed for universal use, contributing to the expansion of automation and solutions that can mitigate the shortage of drivers.
The project includes defining requirements for remote operation, developing a modular safety architecture, and testing in a real environment.
5G communication will be evaluated in the Annaberg-Buchholz test field, and the AI obstacle detection system is planned for testing on the S-Bahn Berlin. Vehicle validation is scheduled for 2028.
12 organizations are contributing to the project, including Siemens Mobility, Siemens AG, Deutsche Bahn, DB Fernverkehr, DB Systemtechnik, DB RegioNetz Infrastruktur, Mira GmbH, Smart Rail Connectivity Campus, DLR, and the universities of Berlin, Chemnitz, and Munich.
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