Four way effective traffic management system

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.

Détails bibliographiques
Auteurs principaux:	Mehraj, Fahad Sharif, Humayun, Samin Bin, Hossain, Md. Shafayet, Addree, Asfi Adrin
Autres auteurs:	Rahim, Abu Hamed M. Abdur
Format:	Thèse
Langue:	English
Publié:	Brac University 2023
Sujets:	Traffic management system Four-way intersection Fuzzy logic Image processing Proximity sensors Traffic flow Congestion Real-time Green light Vehicle detection Emergency vehicles Simulations Peak traffic hours Developing countries Transportation planning Image processing > Digital techniques. Proximity detectors Computer engineering
Accès en ligne:	http://hdl.handle.net/10361/21064

id	10361-21064
record_format	dspace
spelling	10361-210642023-09-20T21:03:09Z Four way effective traffic management system Mehraj, Fahad Sharif Humayun, Samin Bin Hossain, Md. Shafayet Addree, Asfi Adrin Rahim, Abu Hamed M. Abdur Sabuj, Saifur Rahman Department of Electrical and Electronic Engineering, Brac University Traffic management system Four-way intersection Fuzzy logic Image processing Proximity sensors Traffic flow Congestion Real-time Green light Vehicle detection Emergency vehicles Simulations Peak traffic hours Developing countries Transportation planning Image processing--Digital techniques. Proximity detectors Computer engineering This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 58-59). This study presents a comprehensive approach to developing an effective traffic management system for a four-way intersection. To optimize traffic flow and alleviate congestion, the system incorporates fuzzy logic, image processing, and proximity sensors. The study compares the performance of each technology and concludes that proximity sensors are the best option due to their high accuracy, low cost, and ease of deployment. The suggested system detects the presence of vehicles and adjusts traffic lights in real time using proximity sensors. The duration of the green light is controlled by fuzzy logic based on the number of vehicles in each lane, while image processing is employed to detect and respond to emergency vehicles. The system is tested using simulations and demonstrates considerable improvements in traffic flow and waiting times, particularly during high traffic hours. The study emphasizes proximity sensors' potential as a cost-effective and dependable solution for traffic control systems, particularly in developing nations. The findings of this research can help transportation planners and policymakers design successful traffic control systems in their cities. Fahad Sharif Mehraj Samin Bin Humayun Md. Shafayet Hossain Asfi Adrin Addree B. Electrical and Electronic Engineering 2023-09-20T06:15:29Z 2023-09-20T06:15:29Z 2023 2023-04 Thesis ID 19121115 ID 19121143 ID 19121129 ID 19121100 http://hdl.handle.net/10361/21064 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. 70 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Traffic management system Four-way intersection Fuzzy logic Image processing Proximity sensors Traffic flow Congestion Real-time Green light Vehicle detection Emergency vehicles Simulations Peak traffic hours Developing countries Transportation planning Image processing--Digital techniques. Proximity detectors Computer engineering
spellingShingle	Traffic management system Four-way intersection Fuzzy logic Image processing Proximity sensors Traffic flow Congestion Real-time Green light Vehicle detection Emergency vehicles Simulations Peak traffic hours Developing countries Transportation planning Image processing--Digital techniques. Proximity detectors Computer engineering Mehraj, Fahad Sharif Humayun, Samin Bin Hossain, Md. Shafayet Addree, Asfi Adrin Four way effective traffic management system
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.
author2	Rahim, Abu Hamed M. Abdur
author_facet	Rahim, Abu Hamed M. Abdur Mehraj, Fahad Sharif Humayun, Samin Bin Hossain, Md. Shafayet Addree, Asfi Adrin
format	Thesis
author	Mehraj, Fahad Sharif Humayun, Samin Bin Hossain, Md. Shafayet Addree, Asfi Adrin
author_sort	Mehraj, Fahad Sharif
title	Four way effective traffic management system
title_short	Four way effective traffic management system
title_full	Four way effective traffic management system
title_fullStr	Four way effective traffic management system
title_full_unstemmed	Four way effective traffic management system
title_sort	four way effective traffic management system
publisher	Brac University
publishDate	2023
url	http://hdl.handle.net/10361/21064
work_keys_str_mv	AT mehrajfahadsharif fourwayeffectivetrafficmanagementsystem AT humayunsaminbin fourwayeffectivetrafficmanagementsystem AT hossainmdshafayet fourwayeffectivetrafficmanagementsystem AT addreeasfiadrin fourwayeffectivetrafficmanagementsystem
_version_	1814308408712495104

Four way effective traffic management system

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