Traffic Controlling System for Emergency Vehicle Using IoT Technology

Abstract

Now a day's traffic is increasing day by day in meteropolitian cities and in this case, though lot of measures taken we are not able to control traffic in effective manner. In this work, an embedded based traffic light controlling hard ware device is proposed and implemented to clear traffic congestion and pave way to emergency vehicle. The proposed device will detect the sound using sound sensor which has ability to detect sound from 3KHZ to 6KHZ and density of vehicle using IR sensor that emits infrared radiation for 300 GHZ to 400 GHZ on roads, it measures the density of vehicle and dynamically switches the traffic lights. During emergency cases, emergency vehicle like ambulance is detected using sound sensor and it triggers the traffic light signal to change from red to green in order to make clearance for its path automatically. Here priority is given to that lane and traffic lights are switched automatically. If suppose there is no arrival of emergency vehicle then the priority is given based on density of vehicle on the lanes. The data of traffic in all lanes of city is stored in cloud which has accurate date time and density in lanes using these data we can monitor traffic in busy hours. This paves the way for smart city by making clearance path for emergency vehicle and reducing vehicle clumsiness in the cities.