Shaping Automated Driving to Achieve Societal Mobility Needs

Shaping Automated Driving to meet Societal Mobility Needs: The HADRIAN Project.- User-Centered Design of Automated Driving to Meet European Mobility Needs.- An Integrated Display of Fluid Human Systems Interactions.- Automated Driving Vehicle Functionality as Guardian Angel.- Results of two Demonstrations of Holistic Solutions for Automated Vehicles to Increase Usefulness and Safety.

Peter Mörtl is principal researcher for Human-Systems Integration at the Virtual Vehicle Research center in Graz, Austria. He is also lecturer of Human-Systems Integration at the University of Graz, Austria. The focus of his research is on developing socio-technical solutions that integrate humans and technical systems. For this, he is applying human factors and systems engineering methods. He is the coordinator of the EU H2020 project HADRIAN (Holistic Approach for DRiver role IntegrAtioN).   Before working in the automotive domain, Peter Mörtl dealt with the topic of human-systems integration for aviation applications on the flight-deck and air traffic control. He received a master's degree in systems engineering from the John Hopkins University in Maryland, US, and a PhD. in applied psychology from the University of Graz, Austria.

Bernhard Brandstätter is heading the department "Energy Management and Human Centric Systems" and the business unit "Efficiency and Comfort" at the Virtual Vehicle Research center in Graz, Austria, since 2014. He is also acquiring and coordinating several European projects. From 2002 to 2005, he was engaged in a major Austrian research project on automotive measurement. From 2005 to 2014, he served as Research Coordinator and CTO of Elin Motoren GmbH. He studied Electrical Engineering in Graz, Austria, and Genoa, Italy. He received his Ph.D. in Electrical Engineering and his Venia Docendi from Graz University of Technology in 1999 and 2003, respectively. He is the author or co-author of more than 100 scientific papers in the fields of optimization, numerics, electrical machines and inverse problems.