Density based traffic control system
Density based traffic control system
This paper introduces a density-based traffic control system aimed at optimizing traffic management at intersections. Utilizing Arduino mega 2560, sensor technology, and an LCD display, the system dynamically adjusts signal timings in response to varying traffic densities. By incorporating infrared sensors for vehicle detection and a sound sensor to prioritize emergency vehicles, the system intelligently allocates green light durations to different roadways, minimizing congestion and ensuring smoother traffic flow. Categorizing traffic into high, moderate, and low-density scenarios enhances the system's adaptability to changing traffic conditions. Overall, this paper offers a practical solution for enhancing road safety, reducing travel times, and improving transportation efficiency in urban environments through intelligent traffic control with visual feedback provided by the LCD display.
Arduino mega 2560, IR sensors, LCD display, Road safety enhancement, Sound sensor, Traffic control system, Travel time reduction
299-304
Bhoomika, Bonthu
bd1183a5-44ed-43bb-bcce-21d89ab5646a
Sarayu, Banoth
07b0ccb2-3c82-4dff-9a82-c889ed9a089f
Manjusha, Koppula
f1850249-cdef-4045-bcf2-c71cbf999582
Yadala, Pavan Kumar
5cd41b9c-57cc-4ac1-b36d-4143d5d1a81b
16 April 2025
Bhoomika, Bonthu
bd1183a5-44ed-43bb-bcce-21d89ab5646a
Sarayu, Banoth
07b0ccb2-3c82-4dff-9a82-c889ed9a089f
Manjusha, Koppula
f1850249-cdef-4045-bcf2-c71cbf999582
Yadala, Pavan Kumar
5cd41b9c-57cc-4ac1-b36d-4143d5d1a81b
Bhoomika, Bonthu, Sarayu, Banoth, Manjusha, Koppula and Yadala, Pavan Kumar
(2025)
Density based traffic control system.
In International Conference on Intelligent Control, Computing and Communication (IC3-2025).
IEEE.
.
(doi:10.1109/IC363308.2025.10956740).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper introduces a density-based traffic control system aimed at optimizing traffic management at intersections. Utilizing Arduino mega 2560, sensor technology, and an LCD display, the system dynamically adjusts signal timings in response to varying traffic densities. By incorporating infrared sensors for vehicle detection and a sound sensor to prioritize emergency vehicles, the system intelligently allocates green light durations to different roadways, minimizing congestion and ensuring smoother traffic flow. Categorizing traffic into high, moderate, and low-density scenarios enhances the system's adaptability to changing traffic conditions. Overall, this paper offers a practical solution for enhancing road safety, reducing travel times, and improving transportation efficiency in urban environments through intelligent traffic control with visual feedback provided by the LCD display.
Text
Paper_ID-263
- Accepted Manuscript
More information
Accepted/In Press date: 13 February 2025
Published date: 16 April 2025
Keywords:
Arduino mega 2560, IR sensors, LCD display, Road safety enhancement, Sound sensor, Traffic control system, Travel time reduction
Identifiers
Local EPrints ID: 501031
URI: http://eprints.soton.ac.uk/id/eprint/501031
PURE UUID: b44f8891-3357-4bf6-9a95-7a0d6aa361fc
Catalogue record
Date deposited: 20 May 2025 17:22
Last modified: 30 Aug 2025 02:19
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Contributors
Author:
Bonthu Bhoomika
Author:
Banoth Sarayu
Author:
Koppula Manjusha
Author:
Pavan Kumar Yadala
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