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The video clearly explains the technology and the benefits of “Advanced Digital Infrastructure”. Each train can be continuously localized with its extension on the track network. Continuous data transmission and higher computing speeds now make it possible to define dynamic block divisions for each train in the same network in order to run trains at individual intervals depending on their current speed and length (so-called “moving blocks”).

The video clearly explains the technology and the benefits of “Advanced Digital Infrastructure” in a shorter way then the one above. 

The video explains the technology and the benefits of “Advanced Digital Infrastructure” in a short way. 

This video illustrates how the CTMS prototype adjusts the schedules of nearly 40 trains during (simulated) live operations. This adjustment is done in a holistic way, even changing schedules of trains that are not directly affected, in order to minimize overall delay with respect to the original schedule. The underlying optimization algorithms are based on Artificial Intelligence (AI). 

Digitale Schiene Deutschland accompanied two train drivers as they carried out their preparatory shutdown of the train. In the video, they explain which work steps are still carried out manually today and could be eliminated in the future.

Susanne Gschwendtner, Project Lead of AutomatedTrain (Digitale Schiene Deutschland), talks in an interview about why the rail system of the future needs fully automated, driverless driving and explains the goals and benefits of the project.

As an important north-south axis, the Corridor Rhine-Alpine links important seaports and economic areas in Europe. It runs through the Netherlands, Belgium, Germany, Switzerland & Italy and is a central lifeline of the European transport network.

Mastering winter challenges: The SLP project Zwieseler Spinne sends a strong signal for solutions and cooperation under extreme conditions!

In the future, fully automated driving will require the sensors at the front of the train to detect objects in the track environment. Artificial intelligence (AI) then evaluates these in terms of their criticality. It must be trained in advance. This is largely done in a digital twin, a highly realistic 1:1 replica of the track environment. The video shows a simulation of a rapid transit line in Hamburg.

Dr. Michael Küpper, Capacity & Traffic Management Ambassador at Digitale Schiene Deutschland, gave a presentation on this topic at the 28th Safety Technology Conference at TU Dresden on 28-29 September 2023.

Fast-Track Programme: Construction measures for the installation of the first track field concentrators in the SLP Cluster 2 project Zwieseler Spinne.

The research and development project “AutomatedTrain” aims to enable a more flexible use of trains through driverless, fully automated dispatching and parking functionality. To achieve this goal, two regional trains will be automated equipped with state-of-the art sensor technology. German government funds the project with EUR 42.6 million.

After a total of four years, Sensors4Rail, one of the most successful research and development projects of Digitale Schiene Deutschland, has come to an end.

What Deep Reinforcement Learning is and how it revolutionizes the scheduling and dispatching in the digital railway system of the future, you can see in the video.

In order to be able to drive fully automatically, sensor technology in conjunction with AI must be able to record and interpret the track environment and obstacles in the future. With an exact digital twin of the rail network, it is possible to simulate a wide variety of situations in any number and to train the AI in a targeted manner.

Kristina Asselbor works as a systems engineer at Deutsche Bahn (DB). As an employee of Digitale Schiene Deutschland, she is involved in the biggest technological reorganisation of the German rail system since the first rail link in 1835. In this interview, she talks about her professional career.   

The ITS World Congress 2021 in Hamburg was the premiere for Sensors4Rail: For the first time, the equipped test vehicle ran on the 23-kilometre route of the S21 line between Hamburg-Berliner Tor and Bergedorf as part of special trips and tested the sensor-based perception systems live in train operation.

What were the goals of the cooperation project and which partners were on board? In this video you can learn more about Sensors4Rail.

Learn more about the conversion of the project vehicle in the video.

Tomorrow’s digital railway requires a rapid exchange of information between vehicles and infrastructure. To realise this, Digitale Schiene Deutschland is working together with the industry on FRMCS – the 5G-based rail communication system of the future. More insights into the partnership between Nokia and Digitaler Schiene Deutschland and the relevance of 5G for the rail communication system of the future shows the video.