Intelligent transportation algorithms for calculating quantitative road traffic parameters

As society progresses, technology can be used in more different ways to improve the quality of life for its citizens. There is a growing need for traffic systems to improve, as human population and road usage have both been increasing over the past few decades. While there has been research done...

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Main Author: Seow, Daryl Zhao Hui
Other Authors: Mohammed Yakoob Siyal
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176688
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1766882024-05-24T15:50:02Z Intelligent transportation algorithms for calculating quantitative road traffic parameters Seow, Daryl Zhao Hui Mohammed Yakoob Siyal School of Electrical and Electronic Engineering EYAKOOB@ntu.edu.sg Engineering As society progresses, technology can be used in more different ways to improve the quality of life for its citizens. There is a growing need for traffic systems to improve, as human population and road usage have both been increasing over the past few decades. While there has been research done into different processing techniques involved, it is also important to consider the financial cost of these different methods implemented. As such, research into techniques and algorithms with a lower cost of implementation is not only warranted, it could be highly beneficial. This project aims to research the efficacy of implementing edge detection techniques on video footage that can be easily attained by laypeople. It also intends to test the vehicle classification algorithms designed, and to examine the effects of combining edge detection techniques to potentially obtain more accurate results. It will be implemented using Python. Bachelor's degree 2024-05-20T03:23:37Z 2024-05-20T03:23:37Z 2024 Final Year Project (FYP) Seow, D. Z. H. (2024). Intelligent transportation algorithms for calculating quantitative road traffic parameters. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176688 https://hdl.handle.net/10356/176688 en 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
spellingShingle Engineering
Seow, Daryl Zhao Hui
Intelligent transportation algorithms for calculating quantitative road traffic parameters
description As society progresses, technology can be used in more different ways to improve the quality of life for its citizens. There is a growing need for traffic systems to improve, as human population and road usage have both been increasing over the past few decades. While there has been research done into different processing techniques involved, it is also important to consider the financial cost of these different methods implemented. As such, research into techniques and algorithms with a lower cost of implementation is not only warranted, it could be highly beneficial. This project aims to research the efficacy of implementing edge detection techniques on video footage that can be easily attained by laypeople. It also intends to test the vehicle classification algorithms designed, and to examine the effects of combining edge detection techniques to potentially obtain more accurate results. It will be implemented using Python.
author2 Mohammed Yakoob Siyal
author_facet Mohammed Yakoob Siyal
Seow, Daryl Zhao Hui
format Final Year Project
author Seow, Daryl Zhao Hui
author_sort Seow, Daryl Zhao Hui
title Intelligent transportation algorithms for calculating quantitative road traffic parameters
title_short Intelligent transportation algorithms for calculating quantitative road traffic parameters
title_full Intelligent transportation algorithms for calculating quantitative road traffic parameters
title_fullStr Intelligent transportation algorithms for calculating quantitative road traffic parameters
title_full_unstemmed Intelligent transportation algorithms for calculating quantitative road traffic parameters
title_sort intelligent transportation algorithms for calculating quantitative road traffic parameters
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176688
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