Quantitative Driver Behaviour Modelling for Active Safety Assessment Expansion (QUADRAE)

Important results from the project

The development of driver assistance systems and automation in the automotive industry creates a great need for virtual testing for the development and evaluation of these systems to contribute to continued improved road safety. Adequate models of driver behavior are critical part of these virtual tests. Through experimental data on driver behavior as well as data from real traffic, QUADRAE has developed and delivered a number of world-unique driver models that have been implemented and are now used in the industry.

Expected long term effects

The project has developed driver models for critical driving scenarios linked to rear-end collisions, intersections and overtaking accidents that are used for evaluation of technology for active safety and autonomous driving. The methodology for evaluation which includes driver models, has also been developed. The models and knowledge that have been built enable world-leading technology development that contributes to reducing accidents and suffering in traffic. Knowledge and data that are unique internationally have been created.

Approach and implementation

The project had a scientific basis with a direct industrial need. A methodology for driver modeling has been further developed and based on it, unique driver models for different situations have been developed. These are based on the latest research on driver behavior. Extensive work has been to produce unique experimental data on driver behavior in different situations. The experimental data set is also the basis for further development among the project parties.