Albrecht Neumann,
CEO Rolling Stock at Siemens Mobility: “Intelligent trains that relieve their drivers of routine tasks and
support them in their work are the future of digitalized rail transport. These
trains will be able to automatically set themselves up and shut down, ensure
energy-optimized operation, react quickly and safely to obstacles on the track,
and shunt fully automatically on the depot grounds. We look forward to working
with our partners to qualify our innovative obstacle detection technology for
practical application in Germany’s largest S-Bahn network.”
Peter Buchner, CEO
S-Bahn Berlin GmbH: “For 100
years, the Berlin S-Bahn has stood for innovation and progress. We are partnering
with industry to test new technologies that support environmentally friendly
rail transportation. Automatic obstacle detection will be an indispensable
component for automated driving in the future. It is already capable of
supporting our drivers and contributing to better operational quality.”
Martin
Fuchs, CEO Verkehrsverbund Berlin Brandenburg (VBB): “The states of Berlin and
Brandenburg and the Berlin-Brandenburg public transport authority (VBB) support innovation
and the groundwork needed to make S-Bahn operations more efficient and
effective. This automatic obstacle detection project will generate valuable
findings and enable us to further develop the S-Bahn system. Exactly 100 years
after the S-Bahn was first electrified, we are preparing yet another
technological leap that will make Berlin’s S-Bahn system fit for the future.”
Testing of the technology will be carried out in a
partnership between Siemens Mobility GmbH (installation supervision, sensors,
hardware, software and digital map), S-Bahn Berlin GmbH (trains, installation,
operation), and Digitale Schiene Deutschland/DB InfraGo (digital mapping, open
data platform). Results of the tests will be evaluated together with the VBB.
On the technical side, the sensors used in the
project will include high-performance LiDARs for close- and long-range object detection
and an infrared camera. The algorithms for evaluating the sensor data have been
specially developed for the rail sector in the "Berlin Digital Rail
Operations - BerDiBa" research project by Siemens in Berlin-Adlershof and
have already been optimised several times. The system continually compares the
position of a train with the location of detected objects using a digital map.
Decisions whether to warn the driver or brake the train are made on the basis
of these ongoing calculations. A newly developed map from DB InfraGo, which
depicts reality with centimeter-accurate precision in 3D, is being used for
this purpose for the first time.