Knowledge-Based Road Traffic Monitoring

Authors:
Antonio Fernández-Caballero;Francisco J. Gómez;Juan López-López
Affiliations:
Instituto de Investigación en Informática de Albacete (I3A) and, Escuela Politécnica Superior de Albacete, Universidad de Castilla-La Mancha, 02071-Albacete, España;Instituto de Investigación en Informática de Albacete (I3A) and, Escuela Politécnica Superior de Albacete, Universidad de Castilla-La Mancha, 02071-Albacete, España;Instituto de Investigación en Informática de Albacete (I3A) and, Escuela Politécnica Superior de Albacete, Universidad de Castilla-La Mancha, 02071-Albacete, España
Venue:
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Year:
2007

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Abstract

This article presents a knowledge-based application to study and analyze traffic behavior on major roads, using as the main surveillance artefact a video camera mounted on a relatively high place with a significant image analysis field. The system described presents something new which is the combination of both traditional traffic monitoring systems, that is, monitoring to get information on different traffic parameters and monitoring to detect accidents automatically. Therefore, we present a system in charge of compiling information on different traffic parameters. It also has a surveillance module, which can detect a wide range of the most significant incidents on a freeway or highway.