An Intelligent Framework for Smart Traffic Monitoring and Autonomous Enforcement

DOI

10.2991/978-94-6239-789-7_53How to use a DOI?

Keywords

Computer Vision and Intelligent Systems; Intelligent Traffic Management System; Traffic Violation

Abstract

This research investigates an intelligent and integrated traffic monitoring framework which is designed to incorporate conventional surveillance systems. The proposed system considers advanced computer vision and artificial intelligence techniques to perform real-time vehicle, tracking, and analysis using modern deep learning models such as YOLO. The system is capable to identify the various violations like Illegal Parking Detection, Red Light Violation, Wrong way Detection, Traffic Lane violation, Illegal U-turns and Speed violation. The present research study demonstrated various algorithm for such violation.

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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TY  - CONF
AU  - Divyam Verma
AU  - Manish Narwaria
PY  - 2026
DA  - 2026/10/08
TI  - An Intelligent Framework for Smart Traffic Monitoring and Autonomous Enforcement
BT  - Proceedings of theInternational Conference on Innovation and Practices in Artificial Intelligence (ICIPAI 2026)
PB  - Atlantis Press
SP  - 797
EP  - 812
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-789-7_53
DO  - 10.2991/978-94-6239-789-7_53
ID  - Verma2026
ER  -