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.
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© 2007 Springer Berlin Heidelberg
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Fernández-Caballero, A., Gómez, F.J., López-López, J. (2007). Knowledge-Based Road Traffic Monitoring. In: Mira, J., Álvarez, J.R. (eds) Nature Inspired Problem-Solving Methods in Knowledge Engineering. IWINAC 2007. Lecture Notes in Computer Science, vol 4528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73055-2_20
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DOI: https://doi.org/10.1007/978-3-540-73055-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73054-5
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