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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Psychoacoustic indicators of pass-by road traffic noise

Authors: De Barros, Ablenya Grangeiro; Vuye, Cedric;

Psychoacoustic indicators of pass-by road traffic noise

Abstract

This dataset contains nine acoustic and psychoacoustic indicators calculated from 4s audio excerpts of 2199 pass-by vehicle noise of four categories (Passenger cars, Vans, Dual-axle heavy vehicle - HD and Multiple-axle heavy vehicle - HM), besides the air temperatures and speed registered during each passage. The calculations were conducted using the algorithms implemented on PsySound3. These records were obtained by following the Statistical Pass-By (SPB) method as per ISO 11819-1 (2023) on road surfaces in dense asphalt concrete. LA,max: average maximum A-weighted sound level, in dB ΔL: the difference between the peak LA,max and the LA,max at 2 s before the peak was reached, in dB LA,eq: A-weighted equivalent continuous sound level, in dB L10: 10% percentile statistical noise level, in dB L90: 90% percentile statistical noise level, in dB N50: 50% percentile loudness, in sone S50: 50% percentile sharpness, in acum R50: 50% percentile roughness, in asper FS50: 50% percentile fluctuation strength, in vacil

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Keywords

Road traffic noise, Psychoacoustic indicators

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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