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Open AccessArticle

Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network

Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-0054, Japan
Department of Computing Engineering, University of Alcala, Madrid 28805, Spain
Author to whom correspondence should be addressed.
Academic Editor: Felipe Jimenez
Sensors 2016, 16(8), 1287;
Received: 12 April 2016 / Revised: 10 August 2016 / Accepted: 11 August 2016 / Published: 15 August 2016
(This article belongs to the Special Issue Sensors for Autonomous Road Vehicles)
PDF [3759 KB, uploaded 15 August 2016]


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 the exchange of information, not only between vehicles, but also among other components in the road infrastructure through different applications. One of the most important information sources in this kind of systems is sensors. Sensors can be within vehicles or as part of the infrastructure, such as bridges, roads or traffic signs. Sensors can provide information related to weather conditions and traffic situation, which is useful to improve the driving process. To facilitate the exchange of information between the different applications that use sensor data, a common framework of knowledge is needed to allow interoperability. In this paper an ontology-driven architecture to improve the driving environment through a traffic sensor network is proposed. The system performs different tasks automatically to increase driver safety and comfort using the information provided by the sensors. View Full-Text
Keywords: intelligent transportation systems; ontology; reasoning; agents; sensor networks intelligent transportation systems; ontology; reasoning; agents; sensor networks

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Fernandez, S.; Hadfi, R.; Ito, T.; Marsa-Maestre, I.; Velasco, J.R. Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network. Sensors 2016, 16, 1287.

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