MAD Urban
AI engineering empowering security reasoning throughout the entire lifecycle of an AI function
MAD Urban
Managed Automated Driving for Urban Mobility and Logistics
Start: 07.2022
End: 09.2025
The MAD Urban project is implementing and researching a prototype of the Managed Automated Driving concept.
Managed Automated Driving shifts vehicle automation to the traffic infrastructure. Functions such as environment perception, vehicle localization, behavioral decisions, and trajectory planning and control are implemented by an intelligent edge infrastructure. The automated vehicle becomes a simple actuator – it merely executes the commands of the traffic infrastructure equipped with sensors and edge computers and makes no complex decisions by itself. This can lead to economies of scale when entire vehicle fleets are automated. Vehicle-to-infrastructure communication (V2I) is used to transfer data to the vehicle.
Role of the FZI
The FZI Research Center for Information Technology is conducting research into infrastructure-based perception and localization solutions, as well as methods for trajectory control that can implement external trajectories of the edge infrastructure. Together with the project partners, the developed methods are being tested in two German test areas: the Test Area Autonomous Driving Baden-Württemberg (TAF-BW) and the Lower Saxony Test Field (TNS).
Contact
Tobias Fleck
Deputy Head of Department
Division: Intelligent Systems and Production Engineering
- +49 721 9654-216
- tobias.fleck@fzi.de
- Headquarters Karlsruhe
Research Focus
Intelligent Transportation Systems and Logistics
Smart solutions for the transportation of people and goods are a focus of FZI research to shape mobility in the future. To this end, the FZI develops integrated mobility systems – from vehicle automation and the application of AI in traffic systems to urban mobility and logistics.
Funding notice:
The MAD Urban joint project is funded by the German Federal Ministry for Economic Affairs and Energy.
Project partners:
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