• Ankit Kumar Mishra
• Austin Emmanuel T
• Jayashree S
• Ms P Kokila

Currently the traffic control system in place in our country is non-flexible and non-adaptive to the ever-growing number of vehicles on the road. It does not take into account the changing traffic density during the different hours of the day. Consequently, the roads get congested frequently and intersections get blocked. Time and fuel, two highly important resources are wasted in this inefficient working of the present-day system. This system proposes a dynamic system that overcomes all these drawbacks. The Proposed system uses cameras installed at the red lights and intersections to monitor the traffic dynamically and then processes this information using image processing, computes the volume of the real time traffic, sets the timer of the signal accordingly. The system uses Canny Edge Detection algorithm to effectively calculate the traffic density and uses Arduino board and OpenCV to control traffic signals. The system also monitors if there is any scope of congestion at the intersection and adjusts the timer to prevent it. The entire system works autonomously and has a quick turnaround time, saving critical resources at every junction.

Image Processing, Canny Edge Detection Algorithm, Traffic density, Traffic control system

"A NOVEL TRAFFIC MANAGEMENT SYSTEM USING CANNY EDGE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.153-157, May-2019, Available :http://www.jetir.org/papers/JETIRCD06025.pdf

"A NOVEL TRAFFIC MANAGEMENT SYSTEM USING CANNY EDGE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp153-157, May-2019, Available at : http://www.jetir.org/papers/JETIRCD06025.pdf