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Please use this identifier to cite or link to this item:

http://hdl.handle.net/20.500.12358/27148
TitleSmart Traffic Lights using Image Processing Algorithms
Title in Arabicإشارت المرور الذكية باستخدام خوارزميات معالجة الصورة
Abstract

Conventional methods of traffic light systems are unable to deal with the ongoing issues surrounding congestion. The current traffic light models are not suited to tackle problems such as traffic jams, ease of access for emergency vehicles and prevention of accidents. In order to counteract these issues, we propose the 'Smart traffic light control system'.The adopted Traffic Light Controllers (TLC) in Gaza, are based on microcontroller and microprocessor. These TLCs have limitations because they use the pre-defined hardware, which is functioning according to the program that does not have the flexibility of modification on real time basis. Due to the fixed time intervals of green, orange and red signals the waiting time is more and car uses more fuel.The intended project will focus on two aspects of implementation. First and foremost, to make traffic light controlling more efficient, image processing alongside with embedded system, will be used. This system will intelligently decide when to alternate signals based on the total traffic on each road detected by cameras on each lane which will increase road capacity and traffic flow.Secondly, the minor component consists of the ability to control the traffic signals by an android application throughout the Bluetooth and wireless connection. This will be controlled by the traffic warden or police officer.The prototype of the system has been built and tested. The model is better than the current system which is limited to the Fixed Mode Traffic Light Controller. It is observed that the proposed smart Traffic Light Controller is more efficient than the conventional controller in respect of less waiting time, more distance travelled by average vehicles and efficient operation during emergency mode.

Authors
Elkhatib, Mohammed M.
Adwan, Alarqam I.
Alsamna, Ahmed S.
Abu-Hudrouss, Ammar M.
TypeConference Paper
Date2019-03
LanguageEnglish
Subjects
smart traffic lights
embedded system
Arduino applications
image processing
Published in2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Citation
Item linkItem Link
DOI10.1109/PICECE.2019.8747225
ISBN9781538662915
License
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  • Staff Publications- Faculty of Engineering [908]
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smart traffic final.pdf728.2Kb

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback