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This paper presents an on-board perception and pre-collision system, aimed at detecting traffic risky situations in urban areas, as well as trying to avoid collision with other traffic participant deploying automatic braking and/or evasive steering maneuver. Information related to the detected risky situations is recorded in a vehicles’ local database. Local data are then transferred later into a global database that can be exploited for finding out remarkable traffic hotspots. This analysis is aimed at analyzing risky situation patterns, optimize resource allocation, and improve emergency call responses. Keywords-Data Mining;Event Data Recorder; Black-box; Accident Hotspots; Intelligent Transport Systems; Computer Vision; Road Safety; Traffic

System for Detecting Urban Areas with High Density of Vehicle Incidents and Issues