It might sound contradictory, but in automated driving the driver is one of the most important topics of research. Acceptance and trusts are therefor the main interests of the DAVI team. This research should be performed in real cars, on real roads, with real drivers. To know how humans react in smarter cars is crucial in the development of systems to provide safe transitions between automated and manual driving. The outcomes of the research can also be used to develop traffic flow models.
To improve traffic situations, environmental perception and situational awareness technologies have been developed such as Communication and sensing. When cars communicate, traffic situations can be assessed far ahead and congestion can be prevented. Also sensing of the direct environment is of importance. Current research develops more reliable methods to sense the environment in all weather conditions and on various roads types. The DAVI makes use of many sensing and other technologies to drive safely and efficient on the roads.
Safety, traffic efficiency & fuel economy
Automated cars will only be a success if they are more safe, efficient and sustainable. To find out if automated cars have these benefits traffic models are used. By this models the benefits but also potential risks can be predicted. To get commercial automated cars on the roads testing methods are explored by DAVI. RDW will explore legalisation including type approval procedures for automated cars aligned with European standards.