Road Congestion Detection For Intelligent Traffic Management

Mansour, Afnan Zaki; Sobhi, Annasemon Ishag; Abdalgader, Deena Hussen; Abdalrhman, Hanadi Ibrahim; Supervisor, Abuagla Babiker Mohammed-

dc.contributor.author	Mansour, Afnan Zaki
dc.contributor.author	Sobhi, Annasemon Ishag
dc.contributor.author	Abdalgader, Deena Hussen
dc.contributor.author	Abdalrhman, Hanadi Ibrahim
dc.contributor.author	Supervisor, Abuagla Babiker Mohammed-
dc.date.accessioned	2017-01-17T07:20:23Z
dc.date.available	2017-01-17T07:20:23Z
dc.date.issued	2016-10-01
dc.identifier.citation	Mansour, 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 search	en_US
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/15237
dc.description	Bachelors search	en_US
dc.description.abstract	Vehicular 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 coming	en_US
dc.description.sponsorship	Sudan University of Science and Technology	en_US
dc.language.iso	en	en_US
dc.publisher	Sudan University of Science and Technology	en_US
dc.subject	Congestion Detection	en_US
dc.subject	Intelligent Traffic Management	en_US
dc.subject	Road Congestion Detection For Intelligent Traffic Management	en_US
dc.title	Road Congestion Detection For Intelligent Traffic Management	en_US
dc.type	Thesis	en_US