The main issues in metropolitan areas are traffic congestion and road accidents. There is now technology available for accident identification. The likelihood of a victim dying is further increased by the ambulance taking longer to get at the scene of the accident and by traffic jams between the scene and the hospital. Implementing a system is necessary to lower the number of fatalities brought on by mishaps and the length of time it takes for an ambulance to arrive at the hospital. In order to address the shortcomings of the current system, a new one will be implemented that will use sensors in the vehicle to automatically identify accidents and use the Internet of Things to manage traffic lights. The worried vehicle's GPS and node MCU module will transmit the accident's position to a nearby hospital. Which will send him to the closest hospital to the scene of the accident. In addition, IoT would be used to regulate traffic light signals that the ambulance would be traveling through. This will cut down on how long it takes the ambulance to get to the hospital. The entire system is automated. As a result, it locates the scene of the accident, manages the traffic signals, and assists in getting to the hospital on time.