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

David Cervinka; Omar Salih; Zahir Ahmad; Sujan Rajbhandari

doi:10.1109/CSNDSP.2018.8471781

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 proceeding › Conference proceeding › peer-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 language	English
Title of host publication	CSNDSP
Publisher	IEEE
Pages	1-4
Number of pages	4
ISBN (Electronic)	978-1-5386-1335-1
DOIs	https://doi.org/10.1109/CSNDSP.2018.8471781
Publication status	Published - 2018
Event	11th International Symposium on Communication Systems, Networks, and Digital Signal Processing - Budapest, Hungary Duration: 18 Jul 2018 → 20 Jul 2018 Conference number: 11 http://csndsp2018.com/

Conference

Conference	11th International Symposium on Communication Systems, Networks, and Digital Signal Processing
Abbreviated title	CSNDSP 2018
Country/Territory	Hungary
City	Budapest
Period	18/07/18 → 20/07/18
Internet address	http://csndsp2018.com/

Keywords

Global Positioning System
Automobiles
Pollution
Standards
Meters
Liquid crystal displays

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10.1109/CSNDSP.2018.8471781

Cite this

@inproceedings{6527d8c7702e447ea0f015652709b619,

title = "Reducing Noise Pollution of Emergency Vehicle Sirens with an Early Warning System",

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.",

keywords = "Global Positioning System, Automobiles, Pollution, Standards, Meters, Liquid crystal displays",

author = "David Cervinka and Omar Salih and Zahir Ahmad and Sujan Rajbhandari",

year = "2018",

doi = "10.1109/CSNDSP.2018.8471781",

language = "English",

pages = "1--4",

booktitle = "CSNDSP",

publisher = "IEEE",

address = "United States",

note = "11th International Symposium on Communication Systems, Networks, and Digital Signal Processing, CSNDSP 2018 ; Conference date: 18-07-2018 Through 20-07-2018",

url = "http://csndsp2018.com/",

}

TY - GEN

T1 - Reducing Noise Pollution of Emergency Vehicle Sirens with an Early Warning System

AU - Cervinka, David

AU - Salih, Omar

AU - Ahmad, Zahir

AU - Rajbhandari, Sujan

N1 - Conference code: 11

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Global Positioning System

KW - Automobiles

KW - Pollution

KW - Standards

KW - Meters

KW - Liquid crystal displays

U2 - 10.1109/CSNDSP.2018.8471781

DO - 10.1109/CSNDSP.2018.8471781

M3 - Conference proceeding

SP - 1

EP - 4

BT - CSNDSP

PB - IEEE

T2 - 11th International Symposium on Communication Systems, Networks, and Digital Signal Processing

Y2 - 18 July 2018 through 20 July 2018

ER -

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

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