Smart transportation system for smart cities
Intelligent Transport Systems (ITS) are common tools to help monitor traffic trends which aids in traffic analysis. An increase in the number of vehicles on Singapore’s road, creates challenges in effective traffic management. The main aim of this project is to create a functioning ITS by analyzi...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/76344 |
| _version_ | 1826119144843509760 |
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| author | Yeo, Brandon Wen Jun |
| author2 | Mohammed Yakoob Siyal |
| author_facet | Mohammed Yakoob Siyal Yeo, Brandon Wen Jun |
| author_sort | Yeo, Brandon Wen Jun |
| collection | NTU |
| description | Intelligent Transport Systems (ITS) are common tools to help monitor traffic trends which aids in traffic analysis. An increase in the number of vehicles on Singapore’s road, creates challenges in effective traffic management.
The main aim of this project is to create a functioning ITS by analyzing different image processing algorithms. Through the different techniques used in different weather conditions, a comparison analysis was carried out and results were obtained. The flow of traffic was analyzed using MATLAB application such as Graphical User Interface and Image Processing Toolbox. The techniques used were practiced on a diversified number of weather and lighting conditions to recognize the effects of environmental factors on real-time data.
The results obtained gave further insights on the most favorable processing algorithm for each individual weather and lighting conditions. It can be concluded that some segmentation methods consistently produced better results across the different weather and lighting conditions. Studies for further improvement were also visited. |
| first_indexed | 2024-10-01T04:54:57Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/76344 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:54:57Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/763442023-07-07T16:16:32Z Smart transportation system for smart cities Yeo, Brandon Wen Jun Mohammed Yakoob Siyal School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Intelligent Transport Systems (ITS) are common tools to help monitor traffic trends which aids in traffic analysis. An increase in the number of vehicles on Singapore’s road, creates challenges in effective traffic management. The main aim of this project is to create a functioning ITS by analyzing different image processing algorithms. Through the different techniques used in different weather conditions, a comparison analysis was carried out and results were obtained. The flow of traffic was analyzed using MATLAB application such as Graphical User Interface and Image Processing Toolbox. The techniques used were practiced on a diversified number of weather and lighting conditions to recognize the effects of environmental factors on real-time data. The results obtained gave further insights on the most favorable processing algorithm for each individual weather and lighting conditions. It can be concluded that some segmentation methods consistently produced better results across the different weather and lighting conditions. Studies for further improvement were also visited. Bachelor of Engineering (Electrical and Electronic Engineering) 2018-12-19T15:27:42Z 2018-12-19T15:27:42Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/76344 en Nanyang Technological University 68 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Yeo, Brandon Wen Jun Smart transportation system for smart cities |
| title | Smart transportation system for smart cities |
| title_full | Smart transportation system for smart cities |
| title_fullStr | Smart transportation system for smart cities |
| title_full_unstemmed | Smart transportation system for smart cities |
| title_short | Smart transportation system for smart cities |
| title_sort | smart transportation system for smart cities |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/76344 |
| work_keys_str_mv | AT yeobrandonwenjun smarttransportationsystemforsmartcities |