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

Content Provider	IEEE Xplore Digital Library
Author	Terroso-Saenz, F. Valdes-Vela, M. Sotomayor-Martinez, C. Toledo-Moreo, R. Gomez-Skarmeta, A.F.
Copyright Year	2000
Abstract	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.
Sponsorship	IEEE Intelligent Transportation Systems Society
Starting Page	914
Ending Page	929
Page Count	16
File Size	1430585
File Format	PDF
ISSN	15249050
Volume Number	13
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Roads Sensors Proposals Meteorology Monitoring Ad hoc networks vehicular ad hoc network (VANET) Complex event processing (CEP) event-driven architecture (EDA) traffic information systems (TISs)
Content Type	Text
Resource Type	Article
Subject	Automotive Engineering Mechanical Engineering Computer Science Applications

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