Density based Traffic Control with Alert System using Arduino and NodeMCU

The aim of this paper is to design and implement a density-based traffic control system with automatic intruder identification using IoT. This system enables it to identify the density of the traffic at the dense traffic roads and accordingly adjust the timing of traffic signals in order to reduce the congestion at the road and also alerts when the vehicles cross the signal when ‘red'. Hardware design is implemented by using Arduino and NodeMCU. It also uses IR sensors that indicate traffic congestion at intersections (crossroads). The programming is done using Arduino IDE. The data is monitored on device and the image is displayed on the app along with time and date of the violation incident. This approach to traffic congestion is expected to significantly improve traffic congestion in order to predict traffic congestion and find a solution. It can also provide information about traffic violations and thus, help monitor and control effectively.