Noise is an unacceptable level of sound that creates annoyance, hampers mental and physical peace, and may induce severe damage to the health. Although there are many sources of noise, motorized traffic and their irresponsible honking is the major source of creating noise in urban areas. Past studies have shown that traffic flow, speed, and proportion of heavy vehicles are the principal parameters that affect the emission of noise. While most of the studies have been conducted in developed countries, the studies in developing countries are limited. Developing countries like India have completely different traffic scenarios consisting of mixed traffic conditions and absence of lane discipline. In the present study, traffic noise has been calculated using sound meter on 2-lane urban arterials across different traffic volumes. The effect of proportion of each category of vehicles and their counts on peak sound values has also been studied in detail. Subsequently, a mathematical equation has been developed to predict the minimum and maximum sound value using classified traffic volume, including the number of each category of vehicle plying on the road stretch as independent variables. A sensitivity analysis has also been performed to see the effect of each category of vehicle on the value of peak sound value. The study helps in predicting peak sound values at different traffic volume levels and also be useful in framing rules for prohibition of certain kind of vehicles or encouraging the movement of certain vehicles based on their contribution to noise pollution.
Cleaner City Through Lesser Noise: Traffic Noise Modelling
Lecture Notes in Civil Engineering
Recent Developments in Sustainable Infrastructure (ICRDSI-2020)—GEO-TRA-ENV-WRM ; Kapitel : 58 ; 741-756
07.04.2022
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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