Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
The Design of Rijndael
Collision Avoidance in VANETs - An Application for Ontological Context Models
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
VWCA: An efficient clustering algorithm in vehicular ad hoc networks
Journal of Network and Computer Applications
Assessing the Impact of a Realistic Radio Propagation Model on VANET Scenarios Using Real Maps
NCA '10 Proceedings of the 2010 Ninth IEEE International Symposium on Network Computing and Applications
Journal of Network and Computer Applications
An adaptive approach for information dissemination in Vehicular Ad hoc Networks
Journal of Network and Computer Applications
MASCOTS '11 Proceedings of the 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems
A realistic simulation framework for vehicular networks
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
Determining the Representative Factors Affecting Warning Message Dissemination in VANETs
Wireless Personal Communications: An International Journal
Expert Systems with Applications: An International Journal
Reducing emergency services arrival time by using vehicular communications and Evolution Strategies
Expert Systems with Applications: An International Journal
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Vehicles are nowadays provided with a variety of new sensors capable of gathering information about themselves and from their surroundings. In a near future, these vehicles will also be capable of sharing all the harvested information, with the surrounding environment and among nearby vehicles over smart wireless links. They will also be able to connect with emergency services in case of accidents. Hence, distributed applications based on Vehicular Networks (VNs) will need to agree on a 'common understanding' of context for interoperability, and, therefore, it is necessary to create a standard structure which enables data interoperability among all the different entities involved in transportation systems. In this paper, we focus on traffic safety applications; specifically, we present the VEhicular ACcident ONtology (VEACON) designed to improve traffic safety. Our ontology combines the information collected when an accident occurs, and the data available in the General Estimates System (GES) accidents database. We assess the reliability of our proposal using both realistic crash tests, held in the facilities of Applus+ IDIADA in Tarragona, Spain, and Vehicular Network simulations, based on the ns-2 simulation tool. Experimental results highlight that both nearby vehicles and infrastructure elements (RSUs) are correctly notified about an accident in just a few seconds, increasing the emergency services notification effectiveness.