ROUTINE
Living lab for the transfer of digital health applications and AI into healthcare
Start: 10/2018
End: 06/2021
In the “EVA Shuttle” project, connected and autonomously driving mini-shuttles are being developed for the last mile from the bus stop to the front door. Called by app, autonomous shuttles will in future pick up passengers on the principle of carpooling and take them to their destinations.
The project consortium tested a new public transport service that will offer users more options and convenience in the future. The aim of the research project is to develop a public transport mobility concept that will be evaluated using an overall system-oriented fleet test under real conditions at the Test Area Autonomous Driving Baden-Württemberg (TAF BW).
The German Federal Ministry of Digital and Transport is funding the project as part of the Automated and Connected Driving research program with 2.52 million euros over a period of 33 months.
Intelligent solutions for the transportation of people and goods represent a focus topic of FZI’s application research. Particular attention is paid to public transport, the application of artificial intelligence, the further development of driving functions and their safeguarding, and open source & open data.
In this research focus, the FZI prioritizes the topics of Artificial Intelligence (AI) as well as human and AI engineering. In addition, the FZI deals with questions on dedicated AI hardware and predictive AI.
Funding notice:
The EVA Shuttle project was funded by the Federal Ministry for Digital and Transport (BMDV).
Project partners:
The NEO2018 Innovation Award honors the most innovative ideas for future neighborhoods that have been tested in reality. The jury agreed that the exemplary integration of mobility, energy and digitalization of the EVA shuttles shows what sustainable neighborhood development and thus livable urban development can look like.
Living lab for the transfer of digital health applications and AI into healthcare
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
Artificial Intelligence for Work and Learning in the Karlsruhe Region
Security at multiple system layers based on chains of trust and isolation
Software Engineering of Industrial, Hybrid Quantum Applications and Algorithms
Competence Cluster Anonymization for Interconnected Mobility Systems
Climate-friendly, neuromorphic and for a sustainable transport infrastructure of the future.
Actively addressing the challenges posed by climate change and using them as an opportunity for the German economy.