Semantic Integration of Sensor Data with SSN Ontology in a Multi-Agent Architecture for Intelligent Transportation Systems

Susel FERNANDEZ  Takayuki ITO  

IEICE TRANSACTIONS on Information and Systems   Vol.E100-D   No.12   pp.2915-2922
Publication Date: 2017/12/01
Publicized: 2017/09/15
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016AGP0005
Type of Manuscript: Special Section PAPER (Special Section on Frontiers in Agent-based Technology)
Category: Artificial Intelligence, Data Mining
intelligent transportation systems,  sensors,  semantics,  ontology,  agents,  

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Intelligent transportation systems (ITS) are a set of technological solutions used to improve the performance and safety of road transportation. Since one of the most important information sources on ITS are sensors, the integration and sharing the sensor data become a big challenging problem in the application of sensor networks to these systems. In order to make full use of the sensor data, is crucial to convert the sensor data into semantic data, which can be understood by computers. In this work, we propose to use the SSN ontology to manage the sensor information in an intelligent transportation architecture. The system was tested in a traffic light settings application, allowing to predict and avoid traffic accidents, and also for the routing optimization.