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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18086
Title: Perceived sound quality of additional alert sounds of an electric vehicle
Authors: Singh S.
Payne S.R.
Mackrill J.B.
Jennings P.A.
Maling G.
Burroughs C.
Published in: Proceedings of INTER-NOISE 2015 - 44th International Congress and Exposition on Noise Control Engineering
Abstract: New legislations stipulate that electric vehicles (EVs) must emit additional sounds. These sounds should be intuitively recognisable as a vehicle in operation and alert pedestrians, cyclists, and other road users of the vehicle's approach to prevent collisions. Additionally, these sounds influence impressions of the vehicle brand. Two experiments evaluated the sound quality of an EV emitting additional sounds from the perspective of a pedestrian in a virtual and a real-world traffic scenario. Perceived sound quality of the EV exterior sounds was evaluated in terms of a) objective measurement of detection rate (detection distance/time), and b) subjective ratings of "recognisability as vehicle", "detectability" of the sounds, and "powerfulness" and "pleasantness" of the vehicle brand. Sound pressure level, loudness, sharpness, and roughness were found to be the key metrics of the EV exterior sounds that had significant strong correlation (p<.05) with one or more of the objective and subjective perceived sound quality measures. Detection rate did not correlate to subjective ratings. Therefore, vehicle sounds that are more detectable may not be more recognizable, or portray a positive impression of the vehicle brand. Overall, a more holistic evaluation of these EV exterior sounds is recommended. © 2015 by ASME.
Citation: Proceedings of INTER-NOISE 2015 - 44th International Congress and Exposition on Noise Control Engineering, (2015)
URI: http://repository.iitr.ac.in/handle/123456789/18086
Issue Date: 2015
Publisher: The Institute of Noise Control Engineering of the USA, Inc.
Keywords: Acoustic noise
Acoustic variables control
Acoustic variables measurement
Electric vehicles
Pedestrian safety
Quality control
Vehicles
Detection rates
Electric Vehicles (EVs)
Holistic evaluations
Objective measurement
Sound pressure level
Sound Quality
Strong correlation
Subjective rating
Sound reproduction
Author Scopus IDs: 56215217100
56564124300
55437190000
7202925251
Author Affiliations: Singh, S., WMG, University of Warwick, Coventry, West Midlands, CV4 7AL, United Kingdom
Payne, S.R., School of Energy Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh, EH14 4AS, United Kingdom
Mackrill, J.B., WMG, University of Warwick, Coventry, West Midlands, CV4 7AL, United Kingdom
Jennings, P.A., WMG, University of Warwick, Coventry, West Midlands, CV4 7AL, United Kingdom
Appears in Collections:Conference Publications [ME]

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