Driver Behavior Model Based on Ontology for Intelligent Transportation Systems

Intelligent transportation systems are a set of technological solutions used to improve the performance and safety of road transportation. A crucial element that affects road safety is driver behavior, because driver errors are usually the principal cause of traffic accidents. Therefore, understanding and modeling human driver behavior is extremely important for the safety of the road transportation. In this paper, a driver behavior model based in ontology for intelligent transportation system is proposed. The ontology will allows predicting different undesirable situations, such as traffic accidents, and road congestion, taking into account the environment information and the driver behavior.

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