• Himali Paradkar
• Dr. Pravin Shinde
• Vinay Jain
• Poojan Vig
• Sanchay Thalnerkar

Urban traffic congestion continues to challenge city infrastructures worldwide, leading to significant delays, increased emissions, and frustration for commuters. This paper introduces a novel traffic management system designed to mitigate congestion through adaptive signal timing, based on real-time traffic volume analysis. Our system leverages CCTV camera technology to assess vehicle density across four directions at intersections, dynamically adjusting signal waiting times to optimize flow. A simulation environment, developed using Pygame, models various vehicle types including bikes, cars, trucks, and buses across two lanes in each direction. The primary metric for evaluation, average waiting time, demonstrates the system's efficacy when compared against traditional fixed-timing signals. Our findings indicate a substantial improvement in traffic flow and a reduction in congestion, highlighting the potential for significant impacts on urban mobility.

Traffic management system, CCTV camera, real-time data analysis, dynamic lane-based control, traffic congestion reduction

"Enhancing Urban Traffic Flow: A Simulation-Based Approach Using Dynamic Signal Timing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.j716-j720, April-2024, Available :http://www.jetir.org/papers/JETIR2404988.pdf

"Enhancing Urban Traffic Flow: A Simulation-Based Approach Using Dynamic Signal Timing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppj716-j720, April-2024, Available at : http://www.jetir.org/papers/JETIR2404988.pdf