Intelligent Traffic Light Guidance System (ITLGS)

Abstract

Road traffic congestion continues to remain a serious problem in most cities around the world, especially in the developing countries. It usually occurs in small critical areas that represent city centers and roads intersections. This problem is a result of inappropriate planning for road networks, increasing number of vehicles and poor traffic management. The congestion leads to unnecessary delay, noise, fuel wastage and loss of money. In addition accidents rate may increase. the aim of this project is to build an embedded system based on image processing and machine learning techniques to develop an algorithm that can detect the road traffic congestion levels in Ain Sarah Street. This algorithm will receive live images from a camera placed on the street and analyse it using a microcontroller. Congestion level and guide sign will be displayed on an optimal traffic light sign. The system is feasible since building the model is inexpensive and it can be easily installed.