Results on risk-based design and driver modelling from the two european projects: ISi-PADAS and ITERATE

摘要

In recent years, a variety of driver support and information management systems have been designed and implemented with the objective of improving safety as well as the performance of vehicles. Partially Autonomous Driver Assistance Systems (PADAS) are common today for upper class vehicles. PADAS can take over partial up to full control of the car in certain cases to prevent a crash or to mitigate the effects of an impact; especially in hazardous situations where necessary actions of the driver are no longer possible. While the crucial issues at a technical level have been mostly solved, their consequences on driver activity remains open and needs to be fully understood and mastered. There is also a need to test and verify these systems for a variety of drivers, a variety of traffic situations and for drivers in different states of mind. This adds up to a test matrix that is, if not impossible at least extremely impractical. There is also a desire from system developers to test different solutions during the design process to be able to rule out the least favorable paths at an early stage. Driver modelling is anticipated to play an important role to tackle at least some of these issues. For this means two European funded projects, ITERATE and ISi-PADAS have worked in parallel to develop on the one hand driver models (focus of ITERATE) and a model-based risk based design process (focus of ISi-PADAS) suitable for development, testing and verification of new driver support systems.