Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/15237
Title: Road Congestion Detection For Intelligent Traffic Management
Authors: Mansour, Afnan Zaki
Sobhi, Annasemon Ishag
Abdalgader, Deena Hussen
Abdalrhman, Hanadi Ibrahim
Supervisor, Abuagla Babiker Mohammed-
Keywords: Congestion Detection
Intelligent Traffic Management
Road Congestion Detection For Intelligent Traffic Management
Issue Date: 1-Oct-2016
Publisher: Sudan University of Science and Technology
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
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
Description: Bachelors search
URI: http://repository.sustech.edu/handle/123456789/15237
Appears in Collections:Bachelor of Engineering

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