Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)

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A-IoT Based Smart Traffic Regulations Monitoring and Enforcement System

Authors
Mohammed Ammaar Nalkhande1, *, Divyansh Dilip Renkuntlawar1, Soham Sachin Dhore1, Gayatri Papal1, Zaid Sameer Mankar1, Kailas Patil1
1Vishwakarma University, Pune, India
*Corresponding author. Email: ammaar.nalkhande@gmail.com
Corresponding Author
Mohammed Ammaar Nalkhande
Available Online 6 January 2026.
DOI
10.2991/978-94-6463-948-3_65How to use a DOI?
Keywords
Smart Traffic Monitoring; AI-ML; Helmet Detection; Automatic Number Plate Recognition
Abstract

Riding without helmets, triple riding, and speeding, the three biggest road traffic violations, contribute to accidents, loss of life, and congestion (traffic jams) in cities. Facility based monitoring by traffic authorities is traditional, costly in human resource monitoring, and inefficient. To resolve such problems, this paper develops a Smart RTO Regulations Monitoring and Enforcement System based on IoT and AI-ML. The proposed system allows for automatic real-time and recognition of such traffic violations and fine generation. IoT-enabled cameras collect the live stream of traffic. The models were trained to analyze the traffic footage using YOLO and OCR based algorithms to recognize violations. For traffic violations that are captured, the number plate can log in the RTO control database for processing, for example, it can generate an e-challan for issuing a ticket. From the experimental results section, the accuracy and response time obtained to record real-time violations was very excellent, making it a highly viable proposition in larger urban cities. The proposed system improves road traffic safety, adds IV and reduces human traffic duty requirements, and adds sustainable responsible nature to traffic control functions in Smart City initiatives.

Copyright
© 2025 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 Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
Series
Advances in Intelligent Systems Research
Publication Date
6 January 2026
ISBN
978-94-6463-948-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-948-3_65How to use a DOI?
Copyright
© 2025 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  - Mohammed Ammaar Nalkhande
AU  - Divyansh Dilip Renkuntlawar
AU  - Soham Sachin Dhore
AU  - Gayatri Papal
AU  - Zaid Sameer Mankar
AU  - Kailas Patil
PY  - 2026
DA  - 2026/01/06
TI  - A-IoT Based Smart Traffic Regulations Monitoring and Enforcement System
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 942
EP  - 961
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_65
DO  - 10.2991/978-94-6463-948-3_65
ID  - Nalkhande2026
ER  -