@inproceedings{6b616ca94d1f4216b9fb45c69b250299,
title = "Architecture for intelligent transportation system based in a general traffic ontology",
abstract = "Intelligent transportation systems are a set of technological solutions used to improve the performance and safety of road transportation. A crucial element for the success of these systems is that vehicles can exchange information not only among themselves but with other elements in the road infrastructure through different applications. For the success of this exchange of information, a common framework of knowledge that allows interoperability is needed. In this paper an ontology-based system to provide roadside assistance is proposed, providing drivers making decisions in different situations, taking into account information on different traffic-related elements such as routes, traffic signs, traffic regulations and weather elements.",
keywords = "Agents, Intelligent transportation systems, Ontology, Reasoning",
author = "Susel Fernandez and Takayuki Ito and Rafik Hadfi",
year = "2016",
doi = "10.1007/978-3-319-23467-0\_4",
language = "English",
isbn = "9783319234663",
series = "Studies in Computational Intelligence",
publisher = "Springer",
pages = "43--55",
editor = "Roger Lee",
booktitle = "Computer and Information Science 2015",
address = "Switzerland",
}