Development of a highway traffic noise prediction model that considers various road surface types

Dae Seung Cho, Sungho Mun

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

A highway traffic noise prediction model has been developed for environmental assessment in South Korea. The model is based on an outdoor sound propagation method and is fully compliant with ISO 9613 and the sound power level (PWL) estimation for a road segment, as suggested in the ASJ Model-1998 that is based on PWLs. Due to that model's selection of two pavement types, such as asphalt or concrete pavement, an unacceptable traffic noise prediction is made in cases where the road surface is different from that on which the model is based. In order to address this problem, several road surface types are categorized, and the PWL of each surface type is determined and modeled by measuring the noise levels obtained from newly developed methods. An evaluation of the traffic noise prediction model using field measurements finds good agreement between predicted and measured noise levels.

Original languageEnglish
Pages (from-to)1120-1128
Number of pages9
JournalApplied Acoustics
Volume69
Issue number11
DOIs
StatePublished - Nov 2008

Keywords

  • Highway traffic noise
  • Noise prediction
  • Pavement
  • Sound power level

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