Automated Traffic Control System With Emergency Vehicle Override Using Arduino Uno

Abstract

Traffic congestion is a severe problem in many major cities across the world and it has become a nightmare for the commuters in these cities. The project is designed to develop a density based dynamic traffic signal system. The signal timing changes automatically on sensing the traffic density at the junction. Conventional traffic light system is based on fixed time concept allotted to each side of the junction which cannot be varied as per varying traffic density. Junction timings allotted are fixed. Sometimes higher traffic density at one side of the junction demands longer green time as compared to standard allotted time. The image captured in the traffic signal is processed and converted into grayscale image then its threshold is calculated based on which the contour has been drawn in order to calculate the number of vehicles present in the image. After calculating the number of vehicles we will came to know in which side the density is high based on which signals will be allotted for a particular side. Besides, This system is implemented to make human work easier besides can reduce the uses of human power and because of its potential application. The development of automatic car license plate recognition system will have resulted greater efficiency for vehicle monitoring system. Car plate recognition systems are used commercially, both in overseas and locally. This system is implementing by using MATLAB7.1 Image Processing Toolbox, which uses optical character recognition on images to read the license plates on vehicles. The system is an online system where the image will automatically have extracted once after the image is captured by webcam using image processing technique. First, the image is converted into a binary image and then the chosen area will be cropped so that only the plate number is left. Next, the image is compliment so that the black plate background becomes white while the white plate number becomes black because the system can only detect binary image where the background should be white while the plate number should be black. One of the important step is the integration between image processing and Graphical User Interface (GUI) where, the output of this project will displayed using GUI.