Density-Based Adaptive Traffic Control System with OpenCV

Abstract

AbstractIndia is a developing country and needs to occupy low-cost plus effective measures in controlling traffic. With the increase in Indian urbanization, more people are moving from rural areas to cities leading to excess population, which can be easily seen on roads. Due to increase in number of citizens in particular cities, automobiles can also be seen in enormous number. With the increment of vehicles, traffic system needs to be in order. Traffic system in most of the Indian cities is based on fixed time control mode or manual over-ride mode. But with the modernization with time, we need to implement a new and efficient traffic control system. In this research work, the authors have proposed an adaptive traffic light control system, which is helpful to avoid congestion of vehicles and time consumption. This adaptive traffic control system uses camera as an input sensor, which takes snapshots of roads from different angles and directions to provide input data as form of images. It will provide real-time traffic data. In this work OpenCV framework is used for identification and determination of objects in real-time traffic images captured by camera. For ground detection and background subtraction of images we used GM algorithm (part of OpenCV), which is also used to calculate the number of vehicles present in each line of road. Intersection traffic lights will change according to the traffic condition that will be detected through image and video feeds.KeywordsOpenCVCamera sensorDensity-based traffic control system