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dc.creatorRefai, Hazem
dc.creatorBalid, Walid
dc.creatorTafish, Hasan
dc.date.accessioned2018-01-30T16:25:41Z
dc.date.available2018-01-30T16:25:41Z
dc.date.issued2016-11
dc.identifier.govdocFHWA-OK-16-06
dc.identifier.otherOklahoma Department of Transportation State Planning and Research item 2252
dc.identifier.urihttps://hdl.handle.net/11244/54332
dc.description.abstractReal-time traffic surveillance is essential in today’s intelligent transportation systems and will surely play a vital role in tomorrow’s smart cities. The work detailed in this paper reports on the development and implementation of a novel smart wireless sensor for traffic monitoring. Reliable and computationally efficient algorithms for vehicle detection, speed and length estimation, classification, and time-synchronization were fully developed, integrated, and evaluated. Comprehensive system evaluation and extensive data analysis were performed to tune and validate the system for a reliable and robust operation. Several field studies conducted on highway and urban roads for different scenarios and under various traffic conditions resulted in 99.98% detection accuracy, 97.11% speed estimation accuracy, and 97% length-based vehicle classification accuracy. The developed system is portable, reliable, and cost-effective. The system can also be used for short-term or long-term installment on surface of highway, roadway, and roadside. Implementation cost of a single node including enclosure is US $40.
dc.format.extent240 pages
dc.format.extent10,192,212 bytes
dc.format.mediumapplication.pdf
dc.languageen_US
dc.relation.ispartofseriesNo
dc.relation.requiresAdobe Acrobat Reader
dc.titleDEVELOPMENT OF INEXPENSIVE VEHICLE SENSOR NODE SYSTEM FOR VOLUME, TURN MOVEMENT AND COLLISION AVOIDANCE (FHWA-OK-16-06 2252)
dc.typeTechnical Report
dc.description.versionFinal report, October 2012-December 2013
dc.description.peerreviewNo
dc.type.materialtext
dc.subject.keywordsIntelligent transportation system (ITS)
dc.subject.keywordsmagnetometer sensors
dc.subject.keywordstraffic surveillance
dc.subject.keywordsvehicles detection
dc.subject.keywordsWSN
dc.contributor.sponsorOklahoma Department of Transportation. Materials and Research Division. Office of Research & Implementation


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