Density based traffic control system for a four way intersection

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

Bibliographic Details
Main Authors:	Chowdhury, Faizul Bari, Faruqui, Tahmid Azim, Razzaque, Rylah Marzia, Iqbal, Nayeem
Other Authors:	Hossain Bhuian, Dr. Mohammed Belal
Format:	Project report
Language:	English
Published:	Brac University 2024
Subjects:	Artificial intelligence Deep learning YOLOv5 Datasets IoU Non max spression Image processing > Digital techniques. Cognitive learning theory (Deep learning)
Online Access:	http://hdl.handle.net/10361/22162

id	10361-22162
record_format	dspace
spelling	10361-221622024-01-16T21:02:58Z Density based traffic control system for a four way intersection Chowdhury, Faizul Bari Faruqui, Tahmid Azim Razzaque, Rylah Marzia Iqbal, Nayeem Hossain Bhuian, Dr. Mohammed Belal Department of Electrical and Electronic Engineering, Brac University Artificial intelligence Deep learning YOLOv5 Datasets IoU Non max spression Image processing -- Digital techniques. Cognitive learning theory (Deep learning) This final year design project 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 final year design project. Includes bibliographical references (pages 74-79). Intelligent traffic system is not new to this modern world in order to mitigate traffic congestion. However, a proper management plan for a four way intersection lacks in our cities. An enhanced and optimized system is introduced in our project which in measure the density of all the vehicles plying on the road. The project is conducted on the Dhaka city where live traffic data has been collected from Shoinik Club Mor. A deep learning system is conducted where optimized YOLOv5 algorithm has been used to count the vehicles and the datasets for different vehicles are collected from COCO datasets and some datasets from BRTA (Bangladesh Road Transport Authority). After analyzing in different traffic situation for over 1260 frames at a rate of 30 FPS, we get around 88% accuracy in terms of detection. This operation sets the initial time for green signal as 16 seconds and then it changes according to the density occupied by vehicles of a particular road. Faizul Bari Chowdhury Tahmid Azim Faruqui Rylah Marzia Razzaque Nayeem Iqbal B. Electrical and Electronic Engineering 2024-01-16T06:45:39Z 2024-01-16T06:45:39Z 2023 2023-01 Project report ID: 16321168 ID: 17121072 ID: 17121079 ID: 181221047 http://hdl.handle.net/10361/22162 en Brac University project reports 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. 91 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Artificial intelligence Deep learning YOLOv5 Datasets IoU Non max spression Image processing -- Digital techniques. Cognitive learning theory (Deep learning)
spellingShingle	Artificial intelligence Deep learning YOLOv5 Datasets IoU Non max spression Image processing -- Digital techniques. Cognitive learning theory (Deep learning) Chowdhury, Faizul Bari Faruqui, Tahmid Azim Razzaque, Rylah Marzia Iqbal, Nayeem Density based traffic control system for a four way intersection
description	This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.
author2	Hossain Bhuian, Dr. Mohammed Belal
author_facet	Hossain Bhuian, Dr. Mohammed Belal Chowdhury, Faizul Bari Faruqui, Tahmid Azim Razzaque, Rylah Marzia Iqbal, Nayeem
format	Project report
author	Chowdhury, Faizul Bari Faruqui, Tahmid Azim Razzaque, Rylah Marzia Iqbal, Nayeem
author_sort	Chowdhury, Faizul Bari
title	Density based traffic control system for a four way intersection
title_short	Density based traffic control system for a four way intersection
title_full	Density based traffic control system for a four way intersection
title_fullStr	Density based traffic control system for a four way intersection
title_full_unstemmed	Density based traffic control system for a four way intersection
title_sort	density based traffic control system for a four way intersection
publisher	Brac University
publishDate	2024
url	http://hdl.handle.net/10361/22162
work_keys_str_mv	AT chowdhuryfaizulbari densitybasedtrafficcontrolsystemforafourwayintersection AT faruquitahmidazim densitybasedtrafficcontrolsystemforafourwayintersection AT razzaquerylahmarzia densitybasedtrafficcontrolsystemforafourwayintersection AT iqbalnayeem densitybasedtrafficcontrolsystemforafourwayintersection
_version_	1814307084905218048

Density based traffic control system for a four way intersection

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