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The University of Bremen’s MUTIG-VORAN project aimed to make automated driving safer and more efficient. By combining interdisciplinary expertise from industrial mathematics, AI, and communications engineering, the researchers demonstrated how networked mobility of the future is becoming reality.
A test drive through the University of Bremen’s technology park marked the successful completion of one of the forward-looking research projects concerning the further development of automated mobility. The MUTIG-VORAN project (German for “courageously forward,” and an acronym for “multiple transport processes in Galileo-based traffic scenarios using optimisation methods for real applications”), aimed to make repeated trips, such as carsharing, on-demand taxi services for rural areas, and on-campus Mensa shuttles, highly automated and simultaneously safe.
During the demonstration in the Technology Park, the project members were able to show how sensors, communication, and mathematical control work together to create a safe, networked system.
Professor Christof Büskens, project leader at the University of Bremen, says, “In the MUTIG-VORAN project, we ourselves took a courageous step forward by successfully implementing interdisciplinary research in a practical, application-oriented manner. Bremen thereby connects science and practice for the mobility of the future and creates theories that propel progress instead of hindering it.”
What is special about this is that the algorithms were adapted so that they don’t only work on a specified test platform, but can be transferred to other areas, such as other research vehicles, rovers, or lawnmowers.
Successful Test Drive Through the Technology Park
One of the things the test drive demonstrated, was successful communication with modernized traffic light signals. The signals are now equipped with V2X technology (vehicle-to-everything), which allows vehicles to read the current status of traffic lights in real time. The drive also presented the connection to the recently completed safety control center – a further step in creating safe, networked mobility.
The project, funded by the Federal Ministry for Economic Affairs and Energy, combined expertise from industrial mathematics, artificial intelligence, and communications engineering. The collaboration between the participating partners impressively demonstrated how interdisciplinary research can lead to practical solutions.
Combining Expertise to Create Highly Complex Solutions
The University of Bremen’s Department of Communication Engineering (ANT) focused on mobile communication and developed new methods to improve 5G systems for use in automated vehicles. This included researching methods to collectively localize and communicate as well as building a portable campus network that can be used in other test areas in the future. Dr.-Ing. Carsten Bockelmann, research group leader at ANT, explains, “Uninterrupted connectivity is mandatory for self-driving cars in the future. 5G, and in the future 6G, can ensure the connection to the remote control center and facilitate data transfers between cars. In addition, the communication system will in the future offer localization services and thereby support self-driving cars.”
The TOPAS Industriemathematik gGmbH was responsible for building the test drive vehicles. The researchers also contributed their expertise in creating digital twins for safety and testing purposes and were responsible for controlling the cars. They transferred the theoretically developed control procedures into functioning systems that operate safely and reliably in real-world conditions. “Mathematical optimization is the key to enabling vehicles to make correct, split-second decisions. The combination of simulation, modeling, and practical testing was particularly exciting,” said Dr.-Ing. Mitja Echim, managing director of TOPAS.
Sensors Detect Obstacles in Road Traffic
For a vehicle to truly understand its environment, it must be able to intelligently combine data from multiple sensors. This was the focus of the University of Bremen’s Cognitive Neuroinformatics working group in this project. In addition, the researchers developed procedures for localization, mapping, recognizing other road users, and strategic decision-making. “Sensor fusion and strategic decision-making are two central components of autonomous driving,” emphasized Dr.-Ing. Joachim Clemens from the Cognitive Neuroinformatics working group. “Sensor fusion determines the position of the vehicle and provides information about the environment, such as obstacles and other road users. It forms the basis for all the vehicle’s actions. Strategic decision-making takes over the high-level planning.” This includes, for example, intelligent route planning and optimal processing of transport orders.
The Optimization and Optimal Control research group at the University of Bremen brought their expertise in the field of tactical decision-making to the table which involves short-term decisions during the journey, such as choosing a lane, braking, or avoiding obstacles.
Prof. Dr. Christof Büskens
Center for Industrial Mathematics
Optimization and Optimal Control Research Group
University of Bremen
Phone: +49 (0)421 218 63861
Email: bueskens@uni-bremen.de
://Project video: https://youtu.be/XD2Ky4FAENM?si=HEM98DfWULkSjnHZ
https://Press release about the Safety Control Center and modernized traffic light system: https://www.uni-bremen.de/en/university/university-communication-and-marketing/a...
The University of Bremen’s MUTIG-VORAN project aimed to make automated driving safer and more effici ...
Copyright: TOPAS gGmbH
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The University of Bremen’s MUTIG-VORAN project aimed to make automated driving safer and more effici ...
Copyright: TOPAS gGmbH
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