Intelligent Transportation Systems
In 2021, the research focus "Intelligent Transportation Systems" will pay special attention to public transportation, the application of artificial intelligence, the further development of driving functions and their safeguarding, and open source & open data.
Vehicles are increasingly networked, cooperative and automated. As a result, human-machine interaction (HMI) is becoming increasingly complex - in an environment characterized by information and data exchange and increasing automation, which places new demands on road users.
The aim of the Drive2theFuture project is to prepare drivers and travelers for networked, cooperative and automated means of transport and thus increase their acceptance. At the same time, the project helps technology manufacturers understand and meet people's needs and desires. Drive2theFuture tests different use cases, HMI concepts and training and compares them for different modes of transport as well as user types. In this way, a sustainable market introduction of the application can be simulated, regulated and optimized.
Within the EU project, FZI is investigating machine learning methods for interaction between automated and non-automated vehicles, pedestrians and cyclists. For this purpose, the test field Autonomous Driving Baden-Württemberg (TAF BW) with its infrastructure sensors is used as well as a virtual copy of it to investigate the interactions in a virtual reality environment.
