International Journal of Computer Applications Technology and Research Volume 4– Issue 10, 755 - 761, 2015, ISSN: 2319–8656 www.ijcat.com 755 Traffic Light Controller System using Optical Flow Estimation Neha Parashar Department of Computer Science and Engineeirng Mewar University Chittorgarh, India Shiv Kumar Department of Computer Science and Engineeirng Mewar University Chittorgarh, India Abstract: As we seen everyday vehicle traffic increases day by day on road is causing many issues. We face many traffic jams due to the inefficient traffic controlling system which is unable to cope up with the current scenario of traffic in our country. To overcome such drastic scenario and looking at current traffic volume we need to develop a system which works on real time processing and works after determining the traffic density and then calculating the best possibility in which the traffic on particular cross road is dissolved. Also, it helps in saving time as on traffic roads. In present traffic control system when there is no traffic on road but the static signal not allow traffic to move to cross and it changes after at fixed interval so at every cycle this amount of time is wasted for unused traffic density road and if one road is at high traffic it continuously grows till human intervention. The basic theme is to control the traffic using static cameras fixed on right side of the road along top of the traffic pole to check the complete traffic density on other side of the road. This system will calculate number of vehicles on the road by moving detection and tracking system developed based on optical flow estimation and green light counter will be based on the calculated number of vehicles on the road. Keywords: Optical flow estimation, Moving object detection, tracking, Morphological operation, Blob analysis, Camera. 1. INTRODUCTION In the current scenario of fixed time traffic lights, many a times situation arises wherein there is heavy incoming traffic only from one side of the intersection and the rest are relatively empty. In this case the people on the heavily occupied side have to wait for unreasonably long time as the green light timer is fixed for each side which fails to take in to account that there is no traffic to pass from the other sides. This prolonged waiting time increases the average waiting time of every person in the traffic. Though care is taken while setting these timers by government officials according to the proportionate amount of traffic present on different sides of the intersection but this can never be so flexible as to adapt to the dynamic traffic throughout the day. Moreover, some areas of high traffic volume may receive scanty traffic at some point of the day and some low traffic volume areas might get congested likewise, which leads to an additional increase in waiting time because these timers are set according to average volume of traffic corresponding to the different areas of the city respectively but not according to the different hours of the day. This fixed nature of the present traffic light timers turns out to be ineffective not only during the day but also during late night hours. At night, when there is negligible traffic present, the timers lead to an unreasonably long waiting time. Additionally most people, seeing empty roads ahead of them, tend to jump lights at this point, which quite often lead to accidents [1]. Our proposed system takes into account all these issues by dynamically changing traffic light timers. It intelligently recognizes the volume of the traffic at each side of the intersection thereby providing an adequate amount of time for the traffic to pass. The system monitors traffic throughout the day and takes care of the inability of the fixed timers to adjust