Implementation of an intelligent traffic control system and real time traffic statistics broadcasting

Over the past decades, increasing traffic volume poses many challenges, dynamic traffic light management is one of them. Unlike foreign countries, road traffic conditions of India are heterogeneous due to which detection, counting and classification of vehicles in real-time has become difficult. Due to fixed and predefined nature of traffic light switching traffic congestion is often. In nutshell, an improved and optimized traffic control system is required. Introducing Beagle Bone Black/Rasp Pi to the traffic light system provides numerous customizations to turn a traditional traffic light into a smart one. To control traffic at road intersections, system containing microcontroller is established on traffic light. Image processing algorithms, such as Haar Cascade and Background Subtraction are used to control timer. We have developed traffic control system model for the main intersections of road. The real-time traffic image, traffic density and other statistics will be sent to server. The data can be broadcasted from server at any time on demand through digital solutions. The device gives a forecasted route to user by contacting different traffic lights on the way of user. The motto of this research is to handle varied traffic situations efficiently and to save time and money of user.