A vision based intelligent transportation system for smart cities : A

Keeping track of congested roads to overcome the problem of slow traffic has always been a perennial and principal task for road authorities. In order to pave way for tackling this outstanding concern of road bottlenecks, traffic analysis systems implemented ought to be highly efficient and immensel...

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Main Author: Ahmad Enayathullah Abdul Manan
Other Authors: Mohammed Yakoob Siyal
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/139538
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1395382023-07-07T18:25:31Z A vision based intelligent transportation system for smart cities : A Ahmad Enayathullah Abdul Manan Mohammed Yakoob Siyal School of Electrical and Electronic Engineering EYAKOOB@ntu.edu.sg Engineering::Electrical and electronic engineering Keeping track of congested roads to overcome the problem of slow traffic has always been a perennial and principal task for road authorities. In order to pave way for tackling this outstanding concern of road bottlenecks, traffic analysis systems implemented ought to be highly efficient and immensely accurate. With the acquirement of highly accurate traffic data, road officials can then have the capability to administer the required steps to maximise and greatly improve road traffic conditions. In this project, we will be sampling videos taken from an iPhone XS and use Python 3 scripts to read these videos and produce outputs for analysis. The scripts involve vehicle detection and tracking, speed estimation as well as counting the number of vehicles passing a region of interest (ROI). The Python scripts would run in a Linux environment and for this project, it would be Ubuntu. In addition, frames are extracted from the sample videos which can be used for image processing in the Python graphic user interface (GUI). With this research, we can figure out more opportunities of using OpenCV-Python in traffic applications. Comparative analysis of various implementation of image segmentation techniques and image enhancement processes was tested to discover which created the most precise outputs. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-20T04:49:57Z 2020-05-20T04:49:57Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139538 en A3165-191 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Ahmad Enayathullah Abdul Manan
A vision based intelligent transportation system for smart cities : A
description Keeping track of congested roads to overcome the problem of slow traffic has always been a perennial and principal task for road authorities. In order to pave way for tackling this outstanding concern of road bottlenecks, traffic analysis systems implemented ought to be highly efficient and immensely accurate. With the acquirement of highly accurate traffic data, road officials can then have the capability to administer the required steps to maximise and greatly improve road traffic conditions. In this project, we will be sampling videos taken from an iPhone XS and use Python 3 scripts to read these videos and produce outputs for analysis. The scripts involve vehicle detection and tracking, speed estimation as well as counting the number of vehicles passing a region of interest (ROI). The Python scripts would run in a Linux environment and for this project, it would be Ubuntu. In addition, frames are extracted from the sample videos which can be used for image processing in the Python graphic user interface (GUI). With this research, we can figure out more opportunities of using OpenCV-Python in traffic applications. Comparative analysis of various implementation of image segmentation techniques and image enhancement processes was tested to discover which created the most precise outputs.
author2 Mohammed Yakoob Siyal
author_facet Mohammed Yakoob Siyal
Ahmad Enayathullah Abdul Manan
format Final Year Project
author Ahmad Enayathullah Abdul Manan
author_sort Ahmad Enayathullah Abdul Manan
title A vision based intelligent transportation system for smart cities : A
title_short A vision based intelligent transportation system for smart cities : A
title_full A vision based intelligent transportation system for smart cities : A
title_fullStr A vision based intelligent transportation system for smart cities : A
title_full_unstemmed A vision based intelligent transportation system for smart cities : A
title_sort vision based intelligent transportation system for smart cities : a
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/139538
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