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Traffic: An Intelligent System for Detecting Traffic Events Based on Ontologies
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Author(s): Hayder Luis Endo Pérez (Universidad Central “Marta Abreu” de Las Villas, Cuba), Amed Abel Leiva Mederos (Universidad Central “Marta Abreu” de Las Villas, Cuba), José Antonio Senso-Ruíz (University of Granada, Spain), Ghislain Auguste Atemezing (Mondeca, France), Daniel Gálvez Lio (Universidad Central “Marta Abreu” de Las Villas, Cuba), Jose Luis Sánchez-Chávez (Universidad Central ” Marta Abreu” de Las Villas, Cuba)and Alfredo Simón Cueva (Universidad Tecnologica de la Habana, Cuba)
Copyright: 2024
Pages: 13
Source title:
Semantic Web Technologies and Applications in Artificial Intelligence of Things
Source Author(s)/Editor(s): Fernando Ortiz-Rodriguez (Tamaulipas Autonomous University, Mexico), Amed Leyva-Mederos (Universidad Central "Marta Abreu" de Las Villas, Cuba), Sanju Tiwari (Tamaulipas Autonomous University, Mexico), Ania R. Hernandez-Quintana (Universidad de La Habana, Cuba)and Jose L. Martinez-Rodriguez (Autonomous University of Tamaulipas, Mexico)
DOI: 10.4018/979-8-3693-1487-6.ch003
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Abstract
Traffic event detection is a multidisciplinary field that includes information retrieval, automatic, big data, etc. The absence of tools that integrate the detection of traffic events with the annotation, grouping, and location of events on transport routes led to the conception and implementation of this intelligent system based on ontologies for the management of streams, which facilitates the grouping of traffic data. As a result of the application of the system, it was possible to identify the speed events of a road in real-time and validate its efficiency through clustering algorithms.
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