Smart traffic signal technology has been created and is being utilized to minimize car emissions in the city. Unlike conventional dynamic control signals, which alter the timing and phasing of lights based on controller programming restrictions, this system integrates current technology with artificial intelligence. The most severe issue in metropolitan areas is traffic. Greater traffic control is required for people to enjoy a problem-free, pleasurable driving experience and to live in a pollution-free environment. When the intersection's traffic intensity is recognized, the signal timing automatically changes. In an emergency, every second matter when it comes to saving someone's life. Many lives are lost before the individual arrives in an ambulance at the hospital, or lives are lost due to a lack of fundamental information on the patient's condition. The Internet of Things (IoT) is a network in which objects, animals, or humans are assigned unique IDs. This paper will go through the RFID, computer vision, and sensor-based technologies that are used in Smart Traffic Systems. The fundamental idea of this project is that when a patient is in an ambulance in an emergency situation, the ambulance should arrive at the hospital as soon as possible.