The MaDSAV project aims at supporting drivers in the future to maintain their driving skills when riding in autonomous vehicles. It specifically explores how to profile driver performance and aims at developing tools which will support safe driving within semi-autonomous vehicles.
Semi-Autonomous Vehicles present a major challenge for drivers, namely the risk that their driving skills will decline. This problem is further compounded by the fact that, while the number of semi-autonomous vehicles will increase, there will for the foreseeable future still remain a large number of vehicles with no or little autonomous control. This combination of the decline in driving skills plus the complicated mix of vehicles on the road will raise a number of safety challenges.
For example, drivers of semi-autonomous vehicles may be forced to take control under certain circumstances but may not possess the skills which would enable them to react quickly enough or to take the right decision. Also, they will not be able to rely on other vehicles taking the right course of action. As a result, there needs to be methods employed which can encourage people to maintain their driving skills which are turned to the needs of particular drivers.
04/2015 – 03/2018
MaDSAV is a joint project between the Interdisciplinary Centre for Security Reliability and Trust (SnT) at the University of Luxembourg (Luxembourg) and the Center for Human-Computer Interaction of the Computer Sciences Department of the University of Salzburg (Austria).
Austrian Science Fund (FWF) Joint Project (Ref. 2126-N15), Austria, and Fonds National de la Recherche Luxembourg (FNR), Luxembourg.
The financial support by the Austrian Science Fund (FWF) under grant number I 2126-N15 and the financial support by the Fonds National de La Recherche Luxembourg (FNR) under grant number CS14/IS/8301419 are gratefully acknowledged.