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A Cooperative Approach to Traffic Congestion Detection With Complex Event Processing and VANET

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5 Author(s)
Fernando Terroso-Saenz ; Department of Information and Communication Engineering, Faculty of Computer Science, University of Murcia, Murcia, Spain ; Mercedes Valdes-Vela ; Cristina Sotomayor-Martinez ; Rafael Toledo-Moreo
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Currently, distributed traffic information systems have come up as one of the most important approaches for detecting traffic flow problems on a road. For that purpose, they usually make use of the location information that vehicles share among them through periodical messages that are transmitted across a vehicular ad hoc network (VANET). This paper puts forward an event-driven architecture (EDA) as a novel mechanism to get insight into VANET messages to detect different levels of traffic jams; furthermore, it also takes into account environmental data that come from external data sources, such as weather conditions. The proposed EDA has been developed through the complex-event-processing technology. Simulation tests show that the proposed mechanism can detect traffic congestions, which involve different numbers of lanes and lengths with short delay.

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IEEE Transactions on Intelligent Transportation Systems  (Volume:13 ,  Issue: 2 )