The aim of this project is to define parameters representing skid resistance and longitudinal road unevenness on the base of  vehicle data evaluation. The data are  available on CAN bus and  are shared between different vehicle assistant systems like ABS or ASR, e.g. lateral and longitudinal vehicle acceleration, GPS vehicle position or data from inertial systems (steering angle, yaw rate, wheel speed, slip rate, etc.).

In this way defined road surface characteristics will be used as input for development vehicle assistant systems increasing active crew safety, increasing driving comfort and higher safety for pedestrians.

The  project enables close link among research activities focused on vehicle systems, mathematical models and methods of road surface quality evaluation.