Road Traffic Noise Prediction Models: A Review

Road Traffic Noise Prediction Models: A Review

H.N. Rajakumara R.M. Mahalinge Gowda 

Department of Civil Engineering, Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India

Department of Civil Engineering, P.E.S. College of Engineering, Mandya, Karnataka, India

Page: 
257-271
|
DOI: 
https://doi.org/10.2495/SDP-V3-N3-257-271
Received: 
N/A
|
Accepted: 
N/A
|
Published: 
30 September 2008
| Citation

OPEN ACCESS

Abstract: 

The environmental quality of our cities is gradually degrading by an incessant growth in the number of vehicles and the ever expanding road network, resulting in the increase of road traffic noise. Managing road traffic noise is a challenging task for environmental managers and urban planners. Urban planners often have to rely on road traffic noise prediction models for their assessment. A critical review of various traffic noise studies and the number of traffic noise prediction models cited in literature reveals that they describe the temporal and spatial distribution of traffic noise. Most of these models are either deterministic or statistical in nature. This article presents a critical review of some of these models.

Keywords: 

ASJ model and GIS model, CoRTN model, FHWA model, FHWA TNM model, RLS90, Stop-and-go model

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