IoT Based Noise Pollution Reduction in Traffic Jams

Authors

  • Pawan Terdal  Department of Information Science and Engineering, PES Institute of Technology, South Campus, Bangalore, Karnataka, India
  • Sanath Kumar  Department of Information Science and Engineering, PES Institute of Technology, South Campus, Bangalore, Karnataka, India
  • Mohak Rathore  Department of Information Science and Engineering, PES Institute of Technology, South Campus, Bangalore, Karnataka, India

Keywords:

IoT, traffic jams, noise pollution, honking, environment, technology.

Abstract

Due to the increasing population of vehicles on road, the noise pollution levels have risen beyond limits. No longer can a person travel from one place to another without being subjected to high intensity noise coming from vehicles. This noise can have varying effects on a person,such as hearing imparity, high blood pressure, stress etc. At traffic signals or traffic jams, people tend to horn relentlessly adding nothing but noise to the environment. This paper tries to solve this problem by proposing an IoT-Based solution. With the use of an ESP-8266 microchip and a sound sensor, the noise produced in the traffic can be reduced by cutting down on the unnecessary honking by drivers. Reduction in the levels of noise pollution helps to increase productivity, reduce stress etc.

References

  1. PrRajiv Kapoor, Rajesh Birok, Divi Sai Manoj Department of Electronics and Communication Engineering "Soundless Horn And Remote Patroller" 2014 IEEE International Conference on Vehicular Electronics and Safety (ICVES)
  2. P. D. Marathe "Traffic noise pollution" IJED: Vol. 9, No. 1, (January-June 2012)
  3. https://circuitdigest.com/microcontroller-projects /arduino-sound-level-measurement

Downloads

Published

2018-05-05

Issue

Section

Research Articles

How to Cite

[1]
Pawan Terdal, Sanath Kumar, Mohak Rathore, " IoT Based Noise Pollution Reduction in Traffic Jams, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 3, pp.42-46, May-June-2018.