Modeling driver intention and behavior at roundabouts

Abstract

This paper focuses on modelling driver intention and behaviour at roundabouts in order to provide information on whether or not a driver intends to leave the roundabout when approaching an exit of a roundabout. Advanced Driver Assistance Systems’ effective work depends on adequate driving intention recognition and behaviour prediction, so if the driver intention and behaviour at roundabouts can be modelled and predicted, the roundabout safety and efficiency can be significantly improved. As the driver intention recognition is basically a pattern recognition problem, the machine learning theory is a good candidate for training models. The data for training and validating the models has been planned to be gathered from both the laboratory controlled simulation and field study.