Cover Image

IOT based real time traffic light management system for congestion control / Muhammad Nazif Ezany Yusop

This project aims to improve the efficiency of the traffic light management system by incorporating various smart city components and concepts. The system is intended to save time and electricity by improving key elements such as replacing traditional traffic lights with RGB lights, adding barricade...

Full description

Saved in:
Bibliographic Details
Main Author: Yusop, Muhammad Nazif Ezany
Format: Student Project
Language:English
Published: 2024
Subjects:
Indexes (General)
Online Access:https://ir.uitm.edu.my/id/eprint/99862/1/99862.pdf
https://ir.uitm.edu.my/id/eprint/99862/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.99862
record_format eprints
spelling my.uitm.ir.998622025-02-06T16:54:30Z https://ir.uitm.edu.my/id/eprint/99862/ IOT based real time traffic light management system for congestion control / Muhammad Nazif Ezany Yusop Yusop, Muhammad Nazif Ezany Indexes (General) This project aims to improve the efficiency of the traffic light management system by incorporating various smart city components and concepts. The system is intended to save time and electricity by improving key elements such as replacing traditional traffic lights with RGB lights, adding barricades to zebra crossings for pedestrian safety. Therefore, there are several sensors included in this project to ensure the aims are achieved. The sensor is DHT11 to determine the temperature and humidity for the weather forecast purposes. IR Sensor to detect the presence of vehicles on the platform. These inputs will be present in the output LCD. With this initiative, possibilities of human error can be eliminated, and it will also utilize the functionality of the traffic lights. This project utilizes both hardware and software part to achieve full efficiency. The software used for this project is Proteus 8. This part is the most crucial because it can help to reduce the errors and still give the chance to troubleshoot all the errors before applying to the hardware. This system will help to improve traffic management and improve overall efficiency in urban environments by implementing these enhancements and technologies, aligning with the vision of smart cities. There are few stages of completing this project, first is the design and development of the traffic light junction, the integration of the sensors and wireless technologies including the Internet of Things (IoT) component (NodeMCU), finally the testing and evaluation of the system’s functionality. 2024 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/99862/1/99862.pdf IOT based real time traffic light management system for congestion control / Muhammad Nazif Ezany Yusop. (2024) [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Indexes (General)
spellingShingle Indexes (General)
Yusop, Muhammad Nazif Ezany
IOT based real time traffic light management system for congestion control / Muhammad Nazif Ezany Yusop
description This project aims to improve the efficiency of the traffic light management system by incorporating various smart city components and concepts. The system is intended to save time and electricity by improving key elements such as replacing traditional traffic lights with RGB lights, adding barricades to zebra crossings for pedestrian safety. Therefore, there are several sensors included in this project to ensure the aims are achieved. The sensor is DHT11 to determine the temperature and humidity for the weather forecast purposes. IR Sensor to detect the presence of vehicles on the platform. These inputs will be present in the output LCD. With this initiative, possibilities of human error can be eliminated, and it will also utilize the functionality of the traffic lights. This project utilizes both hardware and software part to achieve full efficiency. The software used for this project is Proteus 8. This part is the most crucial because it can help to reduce the errors and still give the chance to troubleshoot all the errors before applying to the hardware. This system will help to improve traffic management and improve overall efficiency in urban environments by implementing these enhancements and technologies, aligning with the vision of smart cities. There are few stages of completing this project, first is the design and development of the traffic light junction, the integration of the sensors and wireless technologies including the Internet of Things (IoT) component (NodeMCU), finally the testing and evaluation of the system’s functionality.
format Student Project
author Yusop, Muhammad Nazif Ezany
author_facet Yusop, Muhammad Nazif Ezany
author_sort Yusop, Muhammad Nazif Ezany
title IOT based real time traffic light management system for congestion control / Muhammad Nazif Ezany Yusop
title_short IOT based real time traffic light management system for congestion control / Muhammad Nazif Ezany Yusop
title_full IOT based real time traffic light management system for congestion control / Muhammad Nazif Ezany Yusop
title_fullStr IOT based real time traffic light management system for congestion control / Muhammad Nazif Ezany Yusop
title_full_unstemmed IOT based real time traffic light management system for congestion control / Muhammad Nazif Ezany Yusop
title_sort iot based real time traffic light management system for congestion control / muhammad nazif ezany yusop
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/99862/1/99862.pdf
https://ir.uitm.edu.my/id/eprint/99862/
_version_ 1823540786136875008
score 13.239859

Similar Items