Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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Unlocking Smoother Journeys with Intelligent Traffic Signals

Authors
R. Tamilkodi1, P. M. M. Subrahmanya Sarma2, B. Isak Reddy3, *, K. Venkata Lakshmi3, J. Gayathri Devi3, B. Hema Latha3
1Professor, Department of CSE (AIML & CS), Godavari Institute of Engineering & Technology, Rajahmundry, Andhra Pradesh, India
2Professor, Mechanical Engineering Department, Godavari Institute of Engineering & Technology, Rajahmundry, Andhra Pradesh, India
3Department of Computer Science & Engineering (AIML & CS), Godavari Institute of Engineering & Technology, Rajahmundry, Andhra Pradesh, India
*Corresponding author. Email: 20551a4208.isakreddy@gmail.com
Corresponding Author
B. Isak Reddy
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_98How to use a DOI?
Keywords
Transportation optimization; Traffic congestion mitigation; Image Processing; Adaptive traffic control; Automated sensing; Object detection
Abstract

The Urban areas face escalating traffic congestion due to a yearly 35% raise in the no.of vehicles on the roads. Traditional traffic controlling systems, following constant cycles, cannot adapt to changing conditions as human officers can. To address this issue, we propose implementing an Intelligent Traffic Management System. This system utilizes AI and image processing, analyzing live camera feeds at intersections to measure traffic volume accurately. Simulation results suggest a remarkable 32% increase in vehicle flow at intersections compared to the current situation, and further fine-tuning through real CCTV data calibration promises even greater performance improvements.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
10.2991/978-94-6463-471-6_98
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_98How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - R. Tamilkodi
AU  - P. M. M. Subrahmanya Sarma
AU  - B. Isak Reddy
AU  - K. Venkata Lakshmi
AU  - J. Gayathri Devi
AU  - B. Hema Latha
PY  - 2024
DA  - 2024/07/30
TI  - Unlocking Smoother Journeys with Intelligent Traffic Signals
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1022
EP  - 1032
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_98
DO  - 10.2991/978-94-6463-471-6_98
ID  - Tamilkodi2024
ER  -