Multi Inteligent Traffic Light Optimization techniques by appling Modified Component Analysis Algorithm

Abstract

Large cities situated within the developing countries facing one of the most important problems are heavy traffic congestion. It happened because of fast urbanization n. Many modern infrastructures for constructing a traffic signal have been introduced. Due to high maintenance cost and less knowledge of local workers that infrastructure doesn't work well. In this paper, we proposed a new technique for signal control framework, which estimates the traffic flows using the image analysis. For this technique inexpensive Web cameras are required for supporting signal control strategy which is based on traffic volume on that particular time. Traffic volumes can be estimated with few observation points. Based on that, signal controls can be adjusted. Numerical experiments of this proposed work confirmed that average travel time is reduced to 20.6% while comparing to the fixed-time signal control.