Reducing noise pollution of emergency vehicle sirens with an early warning system

David Cervinka, Omar Salih, Zahir Ahmad, Sujan Rajbhandari

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

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
Pages1-4
Number of pages4
DOIs
Publication statusPublished - 20 Jul 2018
Event 2018 11th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP) - Budapest, Hungary
Duration: 18 Jul 201820 Jul 2018

Conference

Conference 2018 11th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP)
Abbreviated titleCSNDSP 2018
Country/TerritoryHungary
CityBudapest
Period18/07/1820/07/18

Keywords

  • global positioning system
  • automobiles
  • pollution
  • standards
  • meters
  • liquid crystal displays
  • emergency service vehicles (ESV)

Fingerprint

Dive into the research topics of 'Reducing noise pollution of emergency vehicle sirens with an early warning system'. Together they form a unique fingerprint.

Cite this