REAL TIME TRAFFIC CONTROL SYSTEM USING IMAGE PROCESSING

Abstract

Traffic is the major problem which every country faces because of the increase in number of vehicles throughout the world, particularly in large urban areas. Therefore, the need arises for simulating and optimizing traffic control algorithms to better accommodate this increasing demand. One of the ways to overcome traffic problems in large cities is through the development of an intelligent traffic control system which is based on the measurement of traffic density on the road. In this paper we presented techniques with which this problem of traffic is solved. We discussed morphological edge detection to solve this problem. For intelligent traffic light system, the most common technique is the use of fuzzy logic controller. Traditionally a fixed time controller is used which has certain disadvantages. They have predefined cyclic time which schedules off-line on a central computer based on average traffic conditions. Due to this there is wastage of time by a green light for same time on a less congested road as compare to more congested road, so to overcome this problem, the morphological edge detection method is proposed which is based on the measurement of the traffic density.