Abstract
Every time an abnormal situation happens on the road, danger situations are found and they need the skills of the drivers in order to cope with them. In this paper, we propose to integrate an ontology inside each vehicle to provide them with reasoning capabilities and avoid the use of a central decision point. Our system benefits traffic management in emergency situations with immediate decisions where each vehicle is a decision point, reacts considering its neighbouring vehicles, and collaborates with them to reach consensus in real time.
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Bermejo, A.J., Villadangos, J., Astrain, J.J., Córdoba, A. (2013). Ontology Based Road Traffic Management. In: Fortino, G., Badica, C., Malgeri, M., Unland, R. (eds) Intelligent Distributed Computing VI. Studies in Computational Intelligence, vol 446. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32524-3_14
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DOI: https://doi.org/10.1007/978-3-642-32524-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32523-6
Online ISBN: 978-3-642-32524-3
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