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A model for Traffic noise prediction in heterogeneous traffic conditions

Author:

Kalai Selvi, R. And Ramachandraiah, A.

Subject Area:

Physical Sciences and Engineering

Abstract:

This paper describes a traffic noise prediction methodology for heterogeneous traffic conditions. Traffic noise characteristics in cities of developing country like India are slightly varied by virtue of the fact that the composition of the traffic is heterogeneous associated with variance of road geometry and varying density of the buildings on the either side of the road. Traffic noise prediction models developed on the basis of homogeneous traffic are not apt to predict the actual noise levels for Indian countries. A new model has been developed in this study considering different parameters such as traffic volume, composition of traffic, speed, horn using effect, number of lanes, road width, road gradient and local metrological conditions.

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