Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/15237
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dc.contributor.authorMansour, Afnan Zaki-
dc.contributor.authorSobhi, Annasemon Ishag-
dc.contributor.authorAbdalgader, Deena Hussen-
dc.contributor.authorAbdalrhman, Hanadi Ibrahim-
dc.contributor.authorSupervisor, Abuagla Babiker Mohammed--
dc.date.accessioned2017-01-17T07:20:23Z-
dc.date.available2017-01-17T07:20:23Z-
dc.date.issued2016-10-01-
dc.identifier.citationMansour, Afnan Zaki.Road Congestion Detection For Intelligent Traffic Management/Afnan Zaki Mansour...{etal};Abuagla Babiker Mohammed.-Khartoum:Sudan University of Science and Technology,College of Engineering,2016.-68p:ill;28cm.-Bachelors searchen_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/15237-
dc.descriptionBachelors searchen_US
dc.description.abstractVehicular traffic congestion is a well-known economic and social problem generating significant costs and safety challenges, and increasing pollution in the cities. Currentintelligent transport systems and vehicular networking technologies rely heavily on the supporting network infrastructure which is still not widely available This work mainly aims to simulate traffic congestion detection in urban areas and emergency cases using PROTUES. In congestion detection, we integrate IR sensor with ARDUINO to determine the road situation. Also in emergency, we use RF identifier to detect if ambulance or police car is comingen_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectCongestion Detectionen_US
dc.subjectIntelligent Traffic Managementen_US
dc.subjectRoad Congestion Detection For Intelligent Traffic Managementen_US
dc.titleRoad Congestion Detection For Intelligent Traffic Managementen_US
dc.typeThesisen_US
Appears in Collections:Bachelor of Engineering

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