Abstract
Traffic accidents are responsible each year for many deaths in the world. Most of them are caused by human fault (speeding, driving while intoxicated, dangerous overtaking, drowsiness, dangerous parking, etc.). Despite the progress noted with the arrival of smart cars and the semantic information representation through ontologies, underdeveloped countries have not yet integrated IT solutions into their transport management systems. Added to this, the absence of concepts that can describe certain types of transport vehicles in ontologies developed for transport systems. Our research objective is to propose an approach to identifying areas at high risk of accidents in less developed countries like Senegal. In this article, we build an ontology of traffic accidents, called TrAcOn (Traffic Accident Ontology) for a traffic accident description system in Senegal. The ontology allows among others to identify highly accidental areas.
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