Driving in adverse weather conditions is not only associated with a high risk of being involved in an accident, but it also affects the severity of an accident. The objective of this research is to investigate the impact of weather conditions on young drivers’ behaviour and safety in urban areas. In order to achieve this objective, an experimental process on a driving simulator was carried out, in which 40 participants drove in different driving scenarios. Regression statistical models were developed to investigate the impact of weather conditions on the mean speed (linear) and the accident probability (logistic). The models’ application shows that driving in the rain contributes to a small reduction in speed, but also to a significant increase in the probability of an accident. When driving in fog, drivers seem to be more cautious, resulting to a decreased accident probability.
|Tags||driver behaviour, driving simulator, statistical modelling, weather conditions, young drivers|