Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)

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Intelligent Traffic Signaling Using IoT: A Real-Time Solution for Congestion in Urban Areas

Authors
Atluri Aasritha1, *, Golve Anusha1, Reshmitha Kilaru1, D. Rajeswara Rao2
1Department of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India
2Professor & Head, Department of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India
*Corresponding author. Email: aasrithaatluri@gmail.com
Corresponding Author
Atluri Aasritha
Available Online 16 June 2026.
DOI
10.2991/978-94-6239-693-7_33How to use a DOI?
Keywords
Internet of Things; IR sensor; gas sensor; Dynamic traffic signaling; air pollution detection
Abstract

Rapid urbanization has made significant changes and challenges to traffic systems. Increased vehicle usage in the metropolitan regions has resulted in the surge in roadway crowding and pollution near junctions, as the traffic signals are predetermined without considering the levels of congestion. This proposed work presents an IoT-assisted signal management system. The Infrared (IR) sensors placed along these intersecting roadways are utilized to identify the existence of vehicles and dynamically adjust the traffic release time accordingly. Additionally, the gas sensor detects the pollutant levels in the surroundings which helps in environmental monitoring. This dual focus approach ensures smoother flow of traffic along with promoting environmental health monitoring. This system also proposes a low-cost solution for dynamic traffic signaling using IR sensors. Unlike existing systems that only concentrate on traffic signaling or environment monitoring, this system focuses on both congestion control and air quality monitoring in a cost-effective manner.

Copyright
© 2026 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 Intelligent Systems for a Sustainable Future (ISSF 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
16 June 2026
ISBN
978-94-6239-693-7
ISSN
2589-4919
DOI
10.2991/978-94-6239-693-7_33How to use a DOI?
Copyright
© 2026 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  - Atluri Aasritha
AU  - Golve Anusha
AU  - Reshmitha Kilaru
AU  - D. Rajeswara Rao
PY  - 2026
DA  - 2026/06/16
TI  - Intelligent Traffic Signaling Using IoT: A Real-Time Solution for Congestion in Urban Areas
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 329
EP  - 337
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_33
DO  - 10.2991/978-94-6239-693-7_33
ID  - Aasritha2026
ER  -