Reducing Noise Pollution of Emergency Vehicle Sirens with an Early Warning System

David Cervinka, Omar Salih, Zahir Ahmad, Sujan Rajbhandari

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

This paper investigates the potential of an early warning system to warn drivers of emergency service vehicles (ESV) prior to their arrival as a suitable replacement for sirens mounted on these vehicles. In this paper, a proof-of-concept system, with the intention of developing a full-scale system for widespread implementation is developed resulting in a reduction of noise pollution caused by sirens. The system was tested by modelling in small-scale using remote controlled (RC) cars and smart traffic lights to evaluate the system and its viability for the future. This paper achieves a working prototype and concludes that the system is viable. Although global positioning system (GPS) is inaccurate for a small-scale system, accuracy is within the GPS specifications and should not impact a full-scale implementation.
Original languageEnglish
Title of host publicationCSNDSP
PublisherIEEE
Pages1-4
Number of pages4
ISBN (Electronic)978-1-5386-1335-1
DOIs
Publication statusPublished - 2018
Event11th International Symposium on Communication Systems, Networks, and Digital Signal Processing - Budapest, Hungary
Duration: 18 Jul 201820 Jul 2018
Conference number: 11
http://csndsp2018.com/

Conference

Conference11th International Symposium on Communication Systems, Networks, and Digital Signal Processing
Abbreviated titleCSNDSP 2018
CountryHungary
CityBudapest
Period18/07/1820/07/18
Internet address

Keywords

  • Global Positioning System
  • Automobiles
  • Pollution
  • Standards
  • Meters
  • Liquid crystal displays

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