A simple braking model for detecting incidents locations by smartphones

Recently, there have been strong demand and interest for developing methods to analyze driving data for extracting traffic safety information. In automobile research field, several methods for detecting sudden braking have been proposed; however, these methods cannot answer the question what is the causes of such sudden braking events. In previous research, we have proposed a method to estimate incidents locations which interfered with smooth driving by using smartphone, but the method just works for the cases of vehicle stop. In this paper, we propose a new braking model which can estimate incidents locations caused sudden braking for both cases of vehicle stop and non-stop. We take real world experiments in order to validate the incidents map result. The result shows that based on the proposed method, incidents map is accurately achieved.