Published Paper Details:

This paper presents the design and building of an intelligent traffic light control system. This is a comprehensive software prototype for a smart traffic system that has been demonstrated. Based on the volume of traffic on either side of the junction, the system regulates the traffic lights. Real-world hardware implementations may make advantage of infrared sensors and cameras. This research use image processing methods to count the number of vehicles before allocating timings based on a simple mathematical calculation for relative traffic density. The gaussian algorithm and the morphological algorithm approaches are the algorithms we employed in this research. By giving the cars on the busiest route greater space to pass than those on other, less busy roads, you may easily relieve traffic congestion. The system need to be capable of making daily priority decisions. In this method, the waiting time for drivers on roads with larger densities is essentially decreased. The photos for each lane are captured and analysed concurrently as a result, and a judgement is made about which lane should be given the most time and attention.