Ontology-based architecture to Improve driving performance using sensor information for intelligent transportation systems
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/59527DOI: 10.1007/978-3-319-70019-9_20
ISBN: 978-3-319-70018-2
Publisher
Springer-Verlag Gmbh
Date
2018Bibliographic citation
Fernandez, S., Ito, T. (2018). Ontology-Based Architecture to Improve Driving Performance Using Sensor Information for Intelligent Transportation Systems. In: Theeramunkong, T., Skulimowski, A., Yuizono, T., Kunifuji, S. (eds) Recent Advances and Future Prospects in Knowledge, Information and Creativity Support Systems. KICSS 2015. Advances in Intelligent Systems and Computing, vol 685. Springer, Cham.
Keywords
Intelligent transportation systems
Ontology
Reasoning
Agents
Sensors
Document type
info:eu-repo/semantics/bookPart
Version
info:eu-repo/semantics/publishedVersion
Publisher's version
https://doi.org/10.1007/978-3-319-70019-9_20Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© 2018 Springer International Publishing AG
Access rights
info:eu-repo/semantics/openAccess
Abstract
Intelligent transportation systems are advanced applications with aim
to provide innovative services relating to road transport management and enable
the users to be better informed and make safer and coordinated use of transport
networks. 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. One of the most important
information sources in this kind of systems is sensors. Sensors can be located
into vehicles or as part of an infrastructure element, such as bridges or traffic
signs. The sensor can provide information related to the weather conditions and
the traffic situation, which is useful to improve the driving process. In this paper
a multiagent system using ontologies to improve the driving environment is
proposed. The system performs different tasks in automatic way to increase the
driver safety and comfort using sensor information.
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