11.–12.06.2025 #polismobility

EN Icon Pfeil Icon Pfeil
EN Element 13300 Element 12300 DE
Prof. Anton Kummert

The bus has to talk to the train

Share page
PrintPrint page Read duration ca. 0 minutes

Professor Anton Kummert, University of Wuppertal (BUW), explains the role of artificial intelligence in the future of mobility.

Prof. Anton Kummert © Berenika Oblonczyk

Prof. Anton Kummert © Berenika Oblonczyk

A conversation with Professor Anton Kummert, Dean of the School of Electrical, Information and Media Engineering at the University of Wuppertal (BUW).

Professor Kummert, how close are we to automated driving for everyone?

Based on the five-level definition drawn up by SAE International, I’d say we are currently at Level 3 plus – and moving rapidly towards Level 4. To explain the definition, the highest level, Level 5, represents vehicle use that doesn’t require a driving licence or a steering wheel. Today, the driver must always be able to intervene while the vehicle is driving, for legal reasons alone. I think it’s conceivable that the first fully autonomous cars will be on the roads by 2025 – but they won’t be a mass phenomenon. What’s more, they will probably be available only in defined districts at first. That means that the vehicles will have learned the roads beforehand, so it won’t be so easy to transplant them from, say, Hamburg to Berlin, let alone from German roads to US or Chinese roads.

What role will artificial intelligence, or AI for short, play in the future of mobility in our cities and urban areas?

AI is vitally important to the mobility of tomorrow. As part of the project Bergisch.Smart_Mobility, which I’m involved with, we have defined various fields of action that can be fundamentally applied to any region of the earth. We’ve already mentioned one field of action: automated, connected driving. Here it’s important to look not just at the algorithms – the software – but to also consider the hardware. Because today it’s often still the case that prototypes are merely conventional cars absolutely packed full with sensors and a big computer in the boot. But of course, that’s not suitable for everyday life and hence far from being ready for mass production. That’s why in the project we are working to make the on-board electronics fit for the future – expanding the classic cable harness is simply not going to do it.

Many people can’t imagine trusting a machine with their lives like that ...

That’s why it’s so important to communicate the possibilities of AI honestly and in a way that is understandable. And, of course, there’s still lots to do. For instance, we need redundancies not just in the hardware, but in the software, too. Emergency strategies are essential. For instance, if scenario X or Y occurs, the AI must safely bring the car to a stop at the side of the road in a defined manner.

What other fields of action are there?

We talk about mobility on demand. In our project, this takes the form of shared taxis operated by the local public transport provider. The AI helps to plan the optimal routes: Not just collecting and transporting an individual person – you’ve also got to make sure that the passengers don’t have to wait too long for the shared taxi to arrive. It’s about multimodal transport concepts that need the individual modes to be very closely linked. To put it simply, the bus has to “talk” to the metro train, and the train has to talk to the shared taxi. Another field of action is infrastructure operators, such as local authorities or the Federal Highway Research Institute, the BASt.

How can AI help with that?

By collecting and processing the almost infinite quantities of data from the transport systems. On that basis, the AI can intelligently plan traffic flows and control them in real time – for example using traffic lights or displays, such as those on motorways. Environmental aspects play a role here as well. To give another example, if sensors measure high particulate pollution on a particular road, the AI can ensure that heavy-goods traffic is intelligently rerouted.

Many thanks for this informative outlook.

Prof. Anton Kummert © Berenika Oblonczyk

Prof. Anton Kummert © Berenika Oblonczyk

Professor Anton Kummert

Proffessor Anton Kummert is Dean of the School of Electrical, Information and Media Engineering at the University of Wuppertal (BUW) and Chair of General Electrical Engineering and Theoretical Communications Engineering. Within the BUW’s Interdisciplinary Center for Machine Learning and Data Analytics, he currently leads a team of 25 researchers who are studying the possibilities for the design of mobility in the smart city and the associated technological requirements. In addition, Kummert is researching the possibilities for climate-friendly, connected and multimodal mobility with other scientists in the Interdisciplinary Center for Mobility and Energy (IZME).


Daniel Boss