摘要 : The need for controlling community noise is being felt with increasing intensity each passing day. Studies have shown that motor vehicles operating on highways constitute one of the major sources of noise, which have an impact on ... 展开 The need for controlling community noise is being felt with increasing intensity each passing day. Studies have shown that motor vehicles operating on highways constitute one of the major sources of noise, which have an impact on the community. Various prediction models have been developed the world over, but need has always been felt of a model, which could be used to accurately predict noise on Indian highways. In order to achieve this, it is essential to use a suitable descriptor for predicting traffic noise. This present study was conducted for identifying a noise descriptor, which is accurate in predicting noise under Indian Conditions. An extensive literature survey revealed that L_(10) and L_(eq) have been mostly used worldwide to describe highway noise. This study focused on collection and analysis of data to establish which one of the above descriptors was suitable for use in the development of a noise prediction model. The literature survey further revealed that the procedure outlined in the CRTN model (Department of Transport and Welsh Office, Calculation of Road Traffic Noise) was best suited for data collection, analysis and noise prediction. The CRTN model uses L_(10) as the noise descriptor. Analysis of the data indicated that the error of prediction for L_(10) was quite less than that for that L_( eq). Further analysis established that L_(10) was a suitable descriptor, as compared to L_( eq) for predicting noise on Indian Highways. 收起