Human Driving Behaviour Evaluation in a Urban Stop & Go Scenery

Abstract

In the last years electronics and automatic controls played a key role in the development of the automotive field. Moreover, intelligent vehicle transport systems have introduced, as an effect, the necessity for the designer to take care of user preferences in order to make as comfortable as possible several kinds of driving features. This requirement originates the problem of suitably modelling the human performances to be implemented in automatic driving tasks. The framework in which the present work has been developed is an Adaptive Cruise Control with Stop & Go features for a urban scenery. In this context, one of the main requirements is the possibility of tuning the control strategy according to the driving style. In order to accomplish this task, a study on different drivers has been carried on, to give evidence to their behaviour during the driving. The aim of this study is to decide if it is possible to determine the driver behaviour, which acquired signals are suitable for this task and which parameters can be used to describe the driving style.