Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network
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 infrast...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/16/8/1287 |
| _version_ | 1828109404250046464 |
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| author | Susel Fernandez Rafik Hadfi Takayuki Ito Ivan Marsa-Maestre Juan R. Velasco |
| author_facet | Susel Fernandez Rafik Hadfi Takayuki Ito Ivan Marsa-Maestre Juan R. Velasco |
| author_sort | Susel Fernandez |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T11:01:47Z |
| format | Article |
| id | doaj.art-41e295d2dfa842fb8654c10e434434ac |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T11:01:47Z |
| publishDate | 2016-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-41e295d2dfa842fb8654c10e434434ac2022-12-22T04:28:30ZengMDPI AGSensors1424-82202016-08-01168128710.3390/s16081287s16081287Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor NetworkSusel Fernandez0Rafik Hadfi1Takayuki Ito2Ivan Marsa-Maestre3Juan R. Velasco4Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-0054, JapanDepartment of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-0054, JapanDepartment of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-0054, JapanDepartment of Computing Engineering, University of Alcala, Madrid 28805, SpainDepartment of Computing Engineering, University of Alcala, Madrid 28805, SpainIntelligent 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.http://www.mdpi.com/1424-8220/16/8/1287intelligent transportation systemsontologyreasoningagentssensor networks |
| spellingShingle | Susel Fernandez Rafik Hadfi Takayuki Ito Ivan Marsa-Maestre Juan R. Velasco Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network Sensors intelligent transportation systems ontology reasoning agents sensor networks |
| title | Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network |
| title_full | Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network |
| title_fullStr | Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network |
| title_full_unstemmed | Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network |
| title_short | Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network |
| title_sort | ontology based architecture for intelligent transportation systems using a traffic sensor network |
| topic | intelligent transportation systems ontology reasoning agents sensor networks |
| url | http://www.mdpi.com/1424-8220/16/8/1287 |
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