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Investigation of tire-road noise levels for Ohio pavement types Herman, Lloyd A ; Ambroziak, Matt J ; Pinckney, Elvin

Av: Medverkande(n): Utgivningsinformation: Transportation Research Record, 2000Beskrivning: nr 1702, s. 57-62Ämnen: Bibl.nr: VTI P8167:1702Location: Abstrakt: Tire-road noise levels for Ohio Department of Transportation pavement types were investigated to provide an additional criterion for pavement selection in noise-sensitive areas. Tire-road noise measurements were conducted in accordance with the International Organization for Standardization's statistical pass-by method (ISO 11819-1)--the first use of this standard in the United States. A statistical pass-by index (SPBI) was determined for each pavement test, which enabled the ranking of the pavement types according to tire-road noise levels, as well as a means of comparing results with other studies conducted according to the standard. There was a difference of 6.7 dB between the lowest (open-graded asphalt) and the highest (random-transverse-grooved concrete) SPBI for all of the pavements measured. Additionally, the data were analyzed to produce reference energy mean emission levels for future use with traffic-noise prediction modeling.
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Tire-road noise levels for Ohio Department of Transportation pavement types were investigated to provide an additional criterion for pavement selection in noise-sensitive areas. Tire-road noise measurements were conducted in accordance with the International Organization for Standardization's statistical pass-by method (ISO 11819-1)--the first use of this standard in the United States. A statistical pass-by index (SPBI) was determined for each pavement test, which enabled the ranking of the pavement types according to tire-road noise levels, as well as a means of comparing results with other studies conducted according to the standard. There was a difference of 6.7 dB between the lowest (open-graded asphalt) and the highest (random-transverse-grooved concrete) SPBI for all of the pavements measured. Additionally, the data were analyzed to produce reference energy mean emission levels for future use with traffic-noise prediction modeling.

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