Accident hotspot prediction and warning
Despite continuous investment in road and vehicle safety, as well as improvements in technology standards, the total amount of road traffic accidents has been increasing over the last decades. Consequently, identifying ways of effectively reducing the frequency and severity of traffic accidents is of utmost importance. Going beyond existing research, we developed a comprehensive in-vehicle decision support systems, which provides accident hotspot warnings to drivers based on location analytics applied to a Swiss historical accident dataset, composed of over 266,000 accidents. The system was tested in a country-wide field test of 57 professional TCS drivers, with over 170,000km driven during a four-week period. Ultimately, we demonstrate that in-vehicle warnings of accident hotspots have a significant improvement on driver behaviour over time.
Gahr, B., Ryder, B., Dahlinger, A., Wortmann, F. (2018), A Crowd Sensing Approach to Video Classification of Traffic Accident Hotspots, Machine Learning and Data Mining in Pattern Recognition. [PDF]
Ryder, B., Dahlinger, A., Gahr, B., Wortmann, F., Fleisch, E. (2018), Spatial Prediction of Accident Hotspots with Critical Driving Events – Insights from a Large Field Test, Transportation Research: Part A – Special Issue on Liability and Insurance for Semi-Autonomous Vehicles.
Ryder, B., Wortmann, F. (2017), Autonomously Detecting and Classifying Traffic Accident Hotspots, Proceedings of the International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), pp. 365-370, Hawaii, USA, 2017. [PDF]
Ryder, B., Gahr, B., Egolf, P., Dahlinger, A., Wortmann, F. (2017), Preventing Traffic Accidents with In-Vehicle Decision Support Systems – The Impact of Accident Hotspot Warnings on Driver Behaviour, Decision Support Systems, Volume 99, Pages 64-74, 2017. [PDF]
Ryder, B., Gahr, B., Dahlinger, A. (2016), An In-Vehicle Information System Providing Accident Hotspot Warnings, Proceedings of the 24th European Conference on Information Systems (ECIS), Istanbul, Turkey, 2016 . [PDF]
Ryder, B., Dahlinger, A., Wortmann, F. (2015), Leveraging Controller Area Network Data for Predicting Vehicle Position during GPS Outage, Proceedings of the 5th International Conference on Internet of Things, Seoul, South Korea, 2015. [PDF]