Intelligent transport algorithms for calculating qualitative road traffic parameters
With the increase in human population as well as traffic road usage across the globe, land scarcity, especially in the context of Singapore, has become a major issue that cannot be overlooked. Technology is also constantly improving, becoming more efficient and effective in our everyday lives....
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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/10356/176636 |
| _version_ | 1826112182985687040 |
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| author | Chua, Delvin Ming Rui |
| author2 | Mohammed Yakoob Siyal |
| author_facet | Mohammed Yakoob Siyal Chua, Delvin Ming Rui |
| author_sort | Chua, Delvin Ming Rui |
| collection | NTU |
| description | With the increase in human population as well as traffic road usage across the globe,
land scarcity, especially in the context of Singapore, has become a major issue that
cannot be overlooked. Technology is also constantly improving, becoming more
efficient and effective in our everyday lives.
While it may be the easiest to buy specialised equipment in bulk for certain purposes,
it is crucial to explore how feasible it is to implement low-cost methods in analysing
traffic road parameters using current technologies.
In this project, we study how processing tools can be implemented to extract useful
parameters from video footage captured through a phone. The aim of this report is to
show how these processing algorithms can be used to retrieve useful information and
aid in developing Singapore’s Intelligent Transport System (ITS). These algorithms
will be implemented in Python for this project. |
| first_indexed | 2024-10-01T03:03:06Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/176636 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:03:06Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1766362024-05-24T15:50:24Z Intelligent transport algorithms for calculating qualitative road traffic parameters Chua, Delvin Ming Rui Mohammed Yakoob Siyal School of Electrical and Electronic Engineering EYAKOOB@ntu.edu.sg Engineering Image processing Traffic parameters Python With the increase in human population as well as traffic road usage across the globe, land scarcity, especially in the context of Singapore, has become a major issue that cannot be overlooked. Technology is also constantly improving, becoming more efficient and effective in our everyday lives. While it may be the easiest to buy specialised equipment in bulk for certain purposes, it is crucial to explore how feasible it is to implement low-cost methods in analysing traffic road parameters using current technologies. In this project, we study how processing tools can be implemented to extract useful parameters from video footage captured through a phone. The aim of this report is to show how these processing algorithms can be used to retrieve useful information and aid in developing Singapore’s Intelligent Transport System (ITS). These algorithms will be implemented in Python for this project. Bachelor's degree 2024-05-19T23:18:49Z 2024-05-19T23:18:49Z 2024 Final Year Project (FYP) Chua, D. M. R. (2024). Intelligent transport algorithms for calculating qualitative road traffic parameters. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176636 https://hdl.handle.net/10356/176636 en A3122-231 application/pdf Nanyang Technological University |
| spellingShingle | Engineering Image processing Traffic parameters Python Chua, Delvin Ming Rui Intelligent transport algorithms for calculating qualitative road traffic parameters |
| title | Intelligent transport algorithms for calculating qualitative road traffic parameters |
| title_full | Intelligent transport algorithms for calculating qualitative road traffic parameters |
| title_fullStr | Intelligent transport algorithms for calculating qualitative road traffic parameters |
| title_full_unstemmed | Intelligent transport algorithms for calculating qualitative road traffic parameters |
| title_short | Intelligent transport algorithms for calculating qualitative road traffic parameters |
| title_sort | intelligent transport algorithms for calculating qualitative road traffic parameters |
| topic | Engineering Image processing Traffic parameters Python |
| url | https://hdl.handle.net/10356/176636 |
| work_keys_str_mv | AT chuadelvinmingrui intelligenttransportalgorithmsforcalculatingqualitativeroadtrafficparameters |