Detection and visualization of potential traffic hotspots in urban environments

Abstract

In this paper we present a novel contribution work, describing a system that helps to detect urban areas with high density of incidents or risk situations. Our system has a perception and pre-collision system that feed an expert system aimed at detecting dangerous situations. All incidents gathered by the vehicles are sent to a global repository, and its data is processed for detecting urban hotspots where the density of incidents is very high. That information can be useful for city councils, allowing them to address these areas with a high concentration of risk situations.