2008 IEEE Intelligent Vehicles Symposium 2008
DOI: 10.1109/ivs.2008.4621182
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Intelligent transport management system using sensor networks

Abstract: This paper proposes distributed traffic monitoring and controlling model using sensors and dedicated traffic servers. This model is described as basic role-oriented processes communicating though primitive interaction protocols. The model is aimed to provide an enabling communications framework upon which multi-agent system models can be organized and built to be used for an simulation of an road map and to estimate the traffic behavior (to provide information about the best routes). This paper presents a hier… Show more

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Cited by 8 publications
(3 citation statements)
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References 11 publications
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“…6 Simulation experiments show that the worst case message loss is below 20% even in the case of very dense traffic driving beyond the safe speed range. This loss can easily be compensated by redundancy.…”
Section: Object Tracking With Discrete Observationsmentioning
confidence: 97%
See 1 more Smart Citation
“…6 Simulation experiments show that the worst case message loss is below 20% even in the case of very dense traffic driving beyond the safe speed range. This loss can easily be compensated by redundancy.…”
Section: Object Tracking With Discrete Observationsmentioning
confidence: 97%
“…Recently the wireless sensor network technology gave a new impulse to the research on novel sensing, montoring and control techniques. [6] describes a vehicle and traffic monitoring solution, which uses both vehicle and infrastructure components. [7] reports a work on road embedded wireless sensor network, but it focuses on traffic characteristics measurements and vehicle classification.…”
Section: Introductionmentioning
confidence: 99%
“…al. [4] developed an ITS using Wireless Sensor network (WSN) installing external hardware both on vehicles and roads which makes it complex and costly. We propose a video based adaptive road traffic light control method motivated by network data traffic control methods.…”
Section: Introductionmentioning
confidence: 99%