Poster: Preventive Identification of Accident Black Spots on the Basis of Crash Severity Estimation

Abstract

Continuous monitoring of traffic accidents enables targeted optimization of vehicle safety systems as well as safer traffic infrastructure planning. Conventional methods for the identification of accident black spots are based on a retrospective analysis of historical accident data and identification of accident predictors a posteriori. Preventive identification of potential accident black spots enables early intervention in order to increase the traffic safety. This paper demonstrates a method, to predict the accident black spots based on the near collision detection. Additionally, the potential crash severity estimation is assigned to the identified near collisions to classify the spot risk. Four different approaches to increase the road safety based on collected data are presented. Among other things, a method for sensitization of the driver regarding the individual hazards profile and identification of safety potentials, is highlighted.