An NTUA Diploma Thesis titled “Event identification based on driving characteristics on rural roads” was recently presented by Akrivi Varela. Focus was put on determining the main factors that can describe the situation before and during an event. Results showed that random forest model performs much better than the binomial logistic regression model in identifying event occurrence with very few false alarms. Moreover, speed and longitudinal acceleration along with total distance driven from the beginning of the driving session, turned out to better describe the case of driving one minute prior to an event. Finally, driving during an event can be sufficiently described through speed, the deviation of the vehicle from the middle of the road as well as time headway with the vehicle ahead.