A Diploma Thesis titled “Event identification based on driving characteristics on rural roads” was recently presented by Akrivi Varela. The aim of this Diploma Thesis is to identify events based on driving characteristics on rural roads and determine 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 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 the time headway with the vehicle ahead.
Event identification based on driving characteristics on rural roads, July 2020
July 30th, 2020 | Comments Off on Acceptance of environmental transport charging policies, July 2020
July 30th, 2020 | Comments Off on CNN/Interamerican/Anytime – Online Workshop, July 2020
July 30th, 2020 | Comments Off on BE OPEN – 3rd Newsletter, July 2020