Today traffic management has been a global issue as there is a growth in vehicular usage through the years. The proposed idea is based on IoT which enables automation of signaling. It takes the data of the vehicular density by continuously monitoring and this information is used for efficient control of traffic. In this model, the signal timings are optimized and signaling is dependent on the density of vehicles on the roadside. It is supported by a prioritized signaling scheme that uses RFID technology that allows special vehicles like ambulances; fire brigades a freeways letting them reach their destination on time. The signaling can also be overridden manually from the control rooms itself over the internet in case of anyemergencies or requirements. It reduces the waiting time of drivers on the roads solving congestion issues. It doesn't require any human intervention in regular thus making the system smart. It updates and stores the real-time trafficand this can be used to analyze the peak times when there is more traffic thereby improving mobility. As the data of traffic flow can be displayed the drivers can take a decision to optimize their drive.