DigiT4TAF-BW
Artificial Intelligence in Traffic Systems
One look at parked-up inner cities or kilometer-long highway traffic jams is revealing: We need new, intelligent mobility concepts and systems in which people, the environment and vehicles harmonize better. Scientists in the “Intelligent Transportation Systems and Logistics” research focus area are working on precisely this.
For the mobility of the future, they are developing automated cooperative and interacting mobility systems – from autonomous vehicles and novel concepts for local public transport and inner-city logistics to AI-supported processes for personal mobility management. Through close cooperation with companies from the mobility sector, they bridge the gap between basic research and practical application. Here, the FZI is a scientific leader in the research of new mobility concepts and contributes to their implementation in beneficial and custom-fit solutions for SMEs, industry, and society-at-large.
In application research, the FZI covers the entire design and processing chain of networked, automated mobility and logistics systems. Thanks to its excellent equipment with real-world laboratories and test vehicles, the FZI can conduct application-oriented and participatory research on safe, future mobility concepts for the intelligent and networked cities of the future. End users are always involved in the networked driving and charging of electric vehicles and intermodality in the context of surveys, acceptance studies, and forecasts.
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CoCar NextGen is a groundbreaking research platform for automated and connected driving. Its modular structure, developed in-house, and access to the entire German road network are what make the platform stand out.
The highly automated and connected FZI shuttles are an ideal solution for the last mile and can be integrated into public transport systems as an on-demand solution, for example.
It is essential for the FZI to promote an open research culture and free access to research results in the mobility sector as well. Wherever possible and reasonable, the application solutions are available or used as open source or open data, especially for sensor data collection, recording, and refinement. Among other things, a virtual model of parts of the Test Area Autonomous Driving Baden-Württemberg (TAF BW) has been published. The FZI has numerous test vehicles for testing mobility concepts, algorithms, and components under real-life conditions in various areas of mobility, such as cargo bikes, passenger vehicles, and shuttle vehicles. These are used in research groups and close cooperation with the KIT to put theoretical findings into practice.
Artificial Intelligence in Traffic Systems
Supercomputing Platform for Highly Automated Vehicles
Munich’s Automated Public Transport with Ridepooling, Solo Bus and Bus Platoons
Reference sensor platform for high-precision sensor validation for automated driving
Software development skills are the foundation of the software-defined vehicle
Next-generation distributed, continuously learning onboard power management system
Safe use of automated shuttle vehicles in urban traffic through supporting infrastructure networking
Broker for dynamic production networks
Competence Cluster Anonymization for Interconnected Mobility Systems
An infrastructure for connected urban transportation