Smart Traffic Management System using IoT

Traffic congestion is the most common problem in the majority of the countries around the world due to increased population and urbanization. Traffic blockage is mainly due to the increased number of vehicles, poor infrastructure, and failure of existing systems. There are several techniques to identify the congestion of traffic such as image processing, laser tracking, and inductive loop. But, there are significant problems with the available methods and hence, the proposed model makes use of infrared sensors, which plays a constructive role to handle the traffic. Infrared sensors are used to count the density of automobiles using which the signals are controlled by ESP8266-based Node MCU and the data is sent to the central cloud system. This system can be interfaced with existing models and takes less time to install. The proposed system allocates a smart period for green lights on roads. To overcome the existing traffic problem we proposed a solution of profile signal control system, called Autonomous and Real Time signal control based on Estimation traffic demand for Minimization of Signal waiting time (ARTEMIS). ARTEMIS is a new signal-based control system, which makes optimized signaling by predicting traffic flow from upstream intersections. Using the proposed system, traffic congestion can be reduced by 35%.