Pages:17-21

Poonam Musmade, Sachin Rajas, S. M. Khairnar

DOI: https://adypsoe.in/adypjiet-journal/Artical-3-2025-09-20

This paper reviews the current state of artificial intelligence (AI) technologies in traffic management, exploring the possibility of a future where AI plays a central role in traffic control, potentially replacing the need for traditional traffic police. As urban populations grow and road networks become more complex, the need for efficient traffic control systems has never been greater. This paper examines the integration of AI-driven systems in monitoring, controlling, and optimizing traffic flow, reducing congestion, and enhancing road safety. The discussion highlights key advancements in AI, machine learning (ML), and computer vision technologies, and how they can automate critical functions traditionally performed by traffic police. We also discuss potential challenges and ethical considerations.