Image Processing Based Automatic Traffic Control System

As the number of people living in cities increases and more people drive, one of the most important problems is traffic congestion. An intelligent system that could effectively manage traffic congestion based on traffic density was required due to the rise in the number of cars. While current traffic management systems operate using fixed time-based methodologies, conventional traffic control systems are unable to manage the complicated traffic flow at junctions. There are numerous methods for establishing effective traffic control systems in urban areas. However, no method exists that is effective in real-time, and no system is prepared to accept changes on a constant basis. Using a digital image processing tool in MATLAB and the image processing technique known as morphological operations, the real-time traffic management system determines the percentage match to control the flow of traffic. By use MATLAB code that modifies the green, yellow, and red-light times in relation to traffic volume and density. To enhance its robustness and reliability the proposed traffic control system which is based on image processing also integrates advanced features such as scenarios involving emergency vehicles.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910452
Primary Topic
Vehicle License Plate Recognition
Type
article
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article

Image Processing Based Automatic Traffic Control System

Ambrish Kumar Sharma, BSowbhagya Lakshmi, P. Khan, S. Gopinath et al.
Vehicle License Plate Recognition
article

Image Processing Based Automatic Traffic Control System

Ambrish Kumar Sharma, BSowbhagya Lakshmi, P. Khan, S. Gopinath, E Poovannan, Sudhakiran Ponnuru
article en

Abstract

As the number of people living in cities increases and more people drive, one of the most important problems is traffic congestion. An intelligent system that could effectively manage traffic congestion based on traffic density was required due to the rise in the number of cars. While current traffic management systems operate using fixed time-based methodologies, conventional traffic control systems are unable to manage the complicated traffic flow at junctions. There are numerous methods for establishing effective traffic control systems in urban areas. However, no method exists that is effective in real-time, and no system is prepared to accept changes on a constant basis. Using a digital image processing tool in MATLAB and the image processing technique known as morphological operations, the real-time traffic management system determines the percentage match to control the flow of traffic. By use MATLAB code that modifies the green, yellow, and red-light times in relation to traffic volume and density. To enhance its robustness and reliability the proposed traffic control system which is based on image processing also integrates advanced features such as scenarios involving emergency vehicles.

Horizon College and Seminary (CA), Institute of Engineering (NP), Saveetha University (IN)
Openalex Percentile: Top 59%
Vehicle License Plate Recognition
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