Real time traffic density measurement using computer vision and dynamic traffic control

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Dettagli Bibliografici
Autori principali:	Chowdhury, Md. Fahim, Biplob, Md Ryad Ahmed
Altri autori:	Uddin, Jia
Natura:	Tesi
Lingua:	English
Pubblicazione:	BRAC University 2018
Soggetti:	Traffic density Traffic control Computer Real time traffic
Accesso online:	http://hdl.handle.net/10361/10164

id	10361-10164
record_format	dspace
spelling	10361-101642022-01-26T10:10:37Z Real time traffic density measurement using computer vision and dynamic traffic control Chowdhury, Md. Fahim Biplob, Md Ryad Ahmed Uddin, Jia Department of Computer Science and Engineering, BRAC University Traffic density Traffic control Computer Real time traffic This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 17-18). In recent times, traffic jam has become a common problem in the major cities all over the world. Our capital city Dhaka is no exception. Numbers of people are being victim of traffic jam each day. The main causes of such situation are more cars on the street, poor traffic management and lack of proper infrastructure. In this paper, we propose a dynamic traffic control system by measuring the traffic density at the intersections by real time video feeds and image processing. We used MOG algorithm for background subtraction method and for foreground detection to keep the count of the cars in each lane. The traffic lights at the intersections will change dynamically according to the conditions of traffic that will be detected from the video feeds. Md. Fahim Chowdhury Md Ryad Ahmed Biplob 2018-05-17T05:37:01Z 2018-05-17T05:37:01Z 2018 2018-04 Thesis ID 14101221 ID 14101182 http://hdl.handle.net/10361/10164 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 18 pages application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Traffic density Traffic control Computer Real time traffic
spellingShingle	Traffic density Traffic control Computer Real time traffic Chowdhury, Md. Fahim Biplob, Md Ryad Ahmed Real time traffic density measurement using computer vision and dynamic traffic control
description	This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
author2	Uddin, Jia
author_facet	Uddin, Jia Chowdhury, Md. Fahim Biplob, Md Ryad Ahmed
format	Thesis
author	Chowdhury, Md. Fahim Biplob, Md Ryad Ahmed
author_sort	Chowdhury, Md. Fahim
title	Real time traffic density measurement using computer vision and dynamic traffic control
title_short	Real time traffic density measurement using computer vision and dynamic traffic control
title_full	Real time traffic density measurement using computer vision and dynamic traffic control
title_fullStr	Real time traffic density measurement using computer vision and dynamic traffic control
title_full_unstemmed	Real time traffic density measurement using computer vision and dynamic traffic control
title_sort	real time traffic density measurement using computer vision and dynamic traffic control
publisher	BRAC University
publishDate	2018
url	http://hdl.handle.net/10361/10164
work_keys_str_mv	AT chowdhurymdfahim realtimetrafficdensitymeasurementusingcomputervisionanddynamictrafficcontrol AT biplobmdryadahmed realtimetrafficdensitymeasurementusingcomputervisionanddynamictrafficcontrol
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Real time traffic density measurement using computer vision and dynamic traffic control

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