Traffic congestion detection for smart and control transportation management
The modern terrain of asphalt and motorways have become a standard of everyday life in a developed and developing nation. The rise in usage of motor vehicles has lead to the need to better regulate their use. These roadways have always been a way to transport us, our goods, and ideas throughout t...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/85620/1/85620_Traffic%20Congestion%20Detection%20for%20Smart.pdf http://irep.iium.edu.my/85620/2/85620_Traffic%20Congestion%20Detection%20for%20Smart%20-%20certificate.pdf http://irep.iium.edu.my/85620/ http://oes.ieeemy.org/nusys20/#program-and-schedule |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |
| Summary: | The modern terrain of asphalt and motorways have become a standard
of everyday life in a developed and developing nation. The rise in usage of
motor vehicles has lead to the need to better regulate their use. These roadways
have always been a way to transport us, our goods, and ideas throughout the age
of homo sapiens up on mud to stone to brick, and now to petroleum distilled
hydrocarbons. The goal of this project has been to be able to detect traffic congestions
presence and levels via the analysis of the images gathered from traffic
cameras that would indicate to the system the current flow status and give warning
to the operators that could then relay the information to drivers within the
affected area or take action themselves to resolve any issue if possible. Since
the implementation of traffic monitoring systems are largely based on visual
acuity of human operators using video monitoring cameras in tandem with other
secondary sensing and monitoring devices in traffic control centers throughout
the grid, it would be sensible to use the same system however enhancing it by
the automation of the task of identifying and tallying vehicles flowing through
the field of view of the camera at any given time. This would require the use of
image processing algorithms and techniques within the bounds of the software
tool MATLAB and other companion tools that would automatically indicate the
presence of vehicles within a certain frame to further deduce the concentration
of vehicle within the area. |
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