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Heterogeneous road traffic noise modeling at mid-block sections of mid-sized city in India

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Abstract

This study attempted to develop a computer-based software for monitoring the traffic noise under heterogeneous traffic condition at the morning peak (MP), off peak (OP), and evening peak (EP) periods of mid-block sections of mid-sized city in India. Traffic noise dataset of 776 (LAeq, 1hr) were collected from 23 locations of Gorakhpur mid-sized city in the state of Uttar Pradesh in India. K-nearest neighbor (K-NN) algorithm was adopted for traffic noise prediction modeling. Moreover, principal component analysis (PCA) technique was used for the dimensionality reduction and to overcome the problem of multi-collinearity. The developed model exhibits R2 value of 0.81, 0.78, and 0.77 in the MP, OP, and EP, respectively, for Leq, and a value of 0.86, 0.80, and 0.84 for L10. The proposed model can predict more than 94% observations within an accuracy of ±3%. Ultimately, a user-friendly noise level calculator named “Traffic Noise Prediction Calculator for Heterogeneous Traffic (TNPC-H)” was developed for the benefit of field engineers and policy planners.

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Developed code and computer software is available upon reasonable request to the corresponding author of the manuscript.

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Acknowledgements

We would like to thank IMPRINT India, who realized the dangers posed by noise pollution and supported our group’s initiatives to work in the field of noise pollution by providing financial backing. Because of this, we have amassed a plethora of data, and the Transportation Engineering Department, IIT BHU has established a national center for the evaluation of traffic noise.

Funding

The research is funded by IMPRINT India under domain of Sustainable habitat whose objective is to make assessment of road traffic noise propagation; plotting of horizontal and vertical profile of noise signature; survey of community response; and analysis of data for model development for three Indian mid-sized cities of Kanpur, Varanasi, and Gorakhpur having similar traffic and geophysical conditions and noise enviroscape with a view to propose suggestions for noise mitigation in urban planning. The project and sanction no. is 4583.

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Chouksey, A.K., Kumar, B., Parida, M. et al. Heterogeneous road traffic noise modeling at mid-block sections of mid-sized city in India. Environ Monit Assess 195, 1349 (2023). https://doi.org/10.1007/s10661-023-11924-0

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