  The rapid development of automated driving systems in recent years has led to
improvements in road safety and travel comfort. One typical function of these
systems is Lane Keep Assist, which generally does not take human driving
preferences into account. In our previous work, we have demonstrated that it is
possible to implement a Lane Keep Assist function that is appropriate to human
preferences using a trajectory planning algorithm based on a linear driving
model. In our current work, we investigated how to separate the driving styles
of individual drivers. We assumed that there are three driving styles: sporty,
neutral and defensive. To prove these relations, clustering methods were
applied to previously recorded measurements . Simulations with parameters
describing the average behaviour of the classes (re-simulated with clustered
types) showed that the resulting paths successfully classified drivers, that
the 3 classes are distinct in their behaviour and that our model reproduces
these behaviours.
