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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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/176688 |
| _version_ | 1826124572949217280 |
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| author | Seow, Daryl Zhao Hui |
| author2 | Mohammed Yakoob Siyal |
| author_facet | Mohammed Yakoob Siyal Seow, Daryl Zhao Hui |
| author_sort | Seow, Daryl Zhao Hui |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T06:22:54Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/176688 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:22:54Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Engineering Seow, Daryl Zhao Hui Intelligent transportation algorithms for calculating quantitative road traffic parameters |
| title | 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_short | Intelligent transportation algorithms for calculating quantitative road traffic parameters |
| title_sort | intelligent transportation algorithms for calculating quantitative road traffic parameters |
| topic | Engineering |
| url | https://hdl.handle.net/10356/176688 |
| work_keys_str_mv | AT seowdarylzhaohui intelligenttransportationalgorithmsforcalculatingquantitativeroadtrafficparameters |