Smart Traffic Monitoring & Controlling

Author(s)	Nikhil Vijay, Vijeta Kumawat, Hemant Mittal, Divyansh Dewani
Country	India
Abstract	The rapid urbanization and increasing vehicular density in cities like Jaipur have intensified the need for intelligent traffic management solutions. This paper presents the design and implementation of a Smart Traffic Monitoring and Control System tailored for urban environments in Rajasthan. The system integrates real-time sensor data, computer vision, and Artificial Intelligence (AI) algorithms to dynamically regulate traffic flow, detect violations, and optimize signal timings. A centralized dashboard enables traffic authorities to visualize congestion patterns, manage incidents, and deploy adaptive control strategies. The solution supports multilingual interfaces (English and Hindi) and is accessible via web and mobile platforms for both administrators and commuters. By reducing manual intervention, enhancing road safety, and improving mobility, the proposed system offers a scalable, modular, and standards-compliant framework for modernizing urban traffic infrastructure.
Keywords	Smart traffic system, AI-powered monitoring, Urban mobility, Real-time control, Rajasthan cities, Intelligent transportation
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 6, November-December 2025
Published On	2025-12-09
DOI	https://doi.org/10.63363/aijfr.2025.v06i06.2372
Short DOI	https://doi.org/hbf948

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