A Comparative Overview of Traffic Flow Modelling Approaches for Auralistion

Research output: Contribution to conferencePaper

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A Comparative Overview of Traffic Flow Modelling Approaches for Auralistion. / Fu, Yang; Murphy, Damian Thomas.

2018. 273-278 Paper presented at EuroNoise 2018, Crete, Greece.

Research output: Contribution to conferencePaper

Harvard

Fu, Y & Murphy, DT 2018, 'A Comparative Overview of Traffic Flow Modelling Approaches for Auralistion' Paper presented at EuroNoise 2018, Crete, Greece, 27/05/18 - 31/05/18, pp. 273-278.

APA

Fu, Y., & Murphy, D. T. (2018). A Comparative Overview of Traffic Flow Modelling Approaches for Auralistion. 273-278. Paper presented at EuroNoise 2018, Crete, Greece.

Vancouver

Fu Y, Murphy DT. A Comparative Overview of Traffic Flow Modelling Approaches for Auralistion. 2018. Paper presented at EuroNoise 2018, Crete, Greece.

Author

Fu, Yang ; Murphy, Damian Thomas. / A Comparative Overview of Traffic Flow Modelling Approaches for Auralistion. Paper presented at EuroNoise 2018, Crete, Greece.

Bibtex - Download

@conference{9dd5acd08b6b4d28a1f3a2cbc7488a5f,
title = "A Comparative Overview of Traffic Flow Modelling Approaches for Auralistion",
abstract = "Auralisation of traffic flow noise has become an increasingly popular research area in recent years. Some algorithms that synthesise the noise emitted from a single vehicle pass-by as well as background traffic noise have been proposed, which could potentially be used to develop auralisations of traffic flow scenes. The process of auralisation is desirable as an alternative to established traffic noise monitoring and modelling techniques, which often take the form of long term, average A-weighted sound pressure levels. Whilst these techniques are of use for gathering objective parameters, they are not sufficient for describing the subjective experience of sound. Auralisation therefore offers an alternative approach to environmental sound evaluation providing an immediate aural understanding of an acoustic scene. As there are no standardized methods for traffic noise auralisation, the resultant modelled scenes can vary significantly, depending on the methods and algorithms utilized. This paper gives a comparative overview of the recently published traffic flow auralisation models, specifically focusing on the level of detail required for running these models. Based on the overview, a specific traffic flow auralisation framework is introduced and implemented, and some preliminary investigation is conducted into the plausibility of the resultant auralisations, with a particular focus on issues arising from HRTF processing used to spatialise elements of the synthesised traffic noise.",
keywords = "acoustics, auralisation, noise",
author = "Yang Fu and Murphy, {Damian Thomas}",
year = "2018",
month = "5",
day = "27",
language = "English",
pages = "273--278",
note = "EuroNoise 2018 ; Conference date: 27-05-2018 Through 31-05-2018",
url = "http://www.euronoise2018.eu/",

}

RIS (suitable for import to EndNote) - Download

TY - CONF

T1 - A Comparative Overview of Traffic Flow Modelling Approaches for Auralistion

AU - Fu, Yang

AU - Murphy, Damian Thomas

PY - 2018/5/27

Y1 - 2018/5/27

N2 - Auralisation of traffic flow noise has become an increasingly popular research area in recent years. Some algorithms that synthesise the noise emitted from a single vehicle pass-by as well as background traffic noise have been proposed, which could potentially be used to develop auralisations of traffic flow scenes. The process of auralisation is desirable as an alternative to established traffic noise monitoring and modelling techniques, which often take the form of long term, average A-weighted sound pressure levels. Whilst these techniques are of use for gathering objective parameters, they are not sufficient for describing the subjective experience of sound. Auralisation therefore offers an alternative approach to environmental sound evaluation providing an immediate aural understanding of an acoustic scene. As there are no standardized methods for traffic noise auralisation, the resultant modelled scenes can vary significantly, depending on the methods and algorithms utilized. This paper gives a comparative overview of the recently published traffic flow auralisation models, specifically focusing on the level of detail required for running these models. Based on the overview, a specific traffic flow auralisation framework is introduced and implemented, and some preliminary investigation is conducted into the plausibility of the resultant auralisations, with a particular focus on issues arising from HRTF processing used to spatialise elements of the synthesised traffic noise.

AB - Auralisation of traffic flow noise has become an increasingly popular research area in recent years. Some algorithms that synthesise the noise emitted from a single vehicle pass-by as well as background traffic noise have been proposed, which could potentially be used to develop auralisations of traffic flow scenes. The process of auralisation is desirable as an alternative to established traffic noise monitoring and modelling techniques, which often take the form of long term, average A-weighted sound pressure levels. Whilst these techniques are of use for gathering objective parameters, they are not sufficient for describing the subjective experience of sound. Auralisation therefore offers an alternative approach to environmental sound evaluation providing an immediate aural understanding of an acoustic scene. As there are no standardized methods for traffic noise auralisation, the resultant modelled scenes can vary significantly, depending on the methods and algorithms utilized. This paper gives a comparative overview of the recently published traffic flow auralisation models, specifically focusing on the level of detail required for running these models. Based on the overview, a specific traffic flow auralisation framework is introduced and implemented, and some preliminary investigation is conducted into the plausibility of the resultant auralisations, with a particular focus on issues arising from HRTF processing used to spatialise elements of the synthesised traffic noise.

KW - acoustics

KW - auralisation

KW - noise

M3 - Paper

SP - 273

EP - 278

ER -