Density-based real-time traffic controlling system using image processing

Abstract

The vehicle population is growing rapidly with the growth of the population. Therefore, traffic congestion is increasing in urban areas. Associated problems such as accidents, stress, and pollution also increase in proportion to traffic problems. In most cities, traffic light systems are used to reduce traffic congestion. Most traffic lights work with a pre-programmed method, or Traffic Police control traffic congestion manually. In Sri Lanka, there is usually heavy traffic congestion during peak hours. During peak hours, Traffic Police control traffic congestion manually. Since this manual procedure is inadequate to control heavy traffic congestion, a real-time traffic controlling system is needed to solve this problem. Our proposed system is implemented to control this traffic congestion problem using realtime traffic density. Further, it is expected to avoid or minimize traffic congestion using image processing techniques.