IoT- Based Traffic Signal Control for Ambulance
Reeta R.1, Kirithiga R.2, Kavitha V. Kumar3, Jaishree M.4
1Reeta R.,* Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India.
2Kirithiga R., Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India.
3Kavitha V. Kumar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India.
4Jaishree M., Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 3250-3254 | Volume-9 Issue-3, February 2020. | Retrieval Number: C6331029320/2020©BEIESP | DOI: 10.35940/ijeat.C6331.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In modern era, due to increase in traffic in the city, emergency vehicles take more time to reach the destination. The current, time-based traffic management system is not suitable and also not flexible for present day traffic, especially at the intersection where the traffic needs to be controlled for vehicles from all four directions. To solve this problem, we bring users a sound detector with automatic recording of various vehicle sounds and distinguishing the presence of ambulance in a particular lane by detecting the siren sound. The captured ambulance sound is processed using IOT and sent to the traffic pole to enhance the traffic clearance. This is carried out by placing the sensors in each lane and a sensor near the traffic pole to indicate that the ambulance has crossed the lane. In this method the traffic signal controller decides when the vehicle has to cross the road and also provide importance to the emergency vehicle.
Keywords: Sound sensors, IOT, Arduino UNO, traffic light, Ambulance