Architecture for intelligent transportation system based in a general traffic ontology

Susel Fernandez, Takayuki Ito, Rafik Hadfi

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationComputer and Information Science 2015
EditorsRoger Lee
Place of PublicationSwitzerland
PublisherSpringer
Pages43-55
Number of pages13
ISBN (Electronic)9783319234670
ISBN (Print)9783319234663
DOIs
Publication statusPublished - 2016
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume614
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Keywords

  • Agents
  • Intelligent transportation systems
  • Ontology
  • Reasoning

Cite this

Fernandez, S., Ito, T., & Hadfi, R. (2016). Architecture for intelligent transportation system based in a general traffic ontology. In R. Lee (Ed.), Computer and Information Science 2015 (pp. 43-55). (Studies in Computational Intelligence; Vol. 614). Springer. https://doi.org/10.1007/978-3-319-23467-0_4