• Dasarathy A K
• P K Kumar
• Dr Gautham Krishna
• Dr Gopalakrishna Gaonkar
• Dr M tamilselvi

Environmental noise pollution represents a growing disruption that poses an increasing risk to human well-being and living standards. Urban soundscapes have experienced dramatic intensification over recent decades, with noise levels rising substantially across metropolitan regions. This escalation generates multiple adverse impacts on communities, particularly causing physical health problems and mental stress among residents. Recognizing vehicular noise as a primary contributor to environmental degradation has prompted researchers to develop predictive frameworks. These models serve as essential tools for urban planners, transportation engineers, and policymakers when designing roadways, modifying traffic flows, and developing infrastructure projects. This research presents a statistical modeling methodology for forecasting automotive noise levels under Bengaluru's specific traffic characteristics. The investigation focused on Kanakapura Main Road (KMR), a significant thoroughfare in South Bengaluru,where comprehensive data collection was recently undertaken. Over 17,000 acoustic measurements were gathered during multiple days at strategic monitoring points along this corridor. This extensive dataset enabled the creation of a specialized predictive model tailored to Bengaluru's unique traffic patterns, providing a valuable instrument for future noise assessment and urban planning initiatives. Accordingly, this study indicates that the generated Leq model's prediction value is ±2% dbA value accuracy

Key words ; noise pollution, noise prediction, noise measurement, noise modelling, environmental pollution, regression analysis

"Estimation of Environmental Noise through Multiple Linear Regression Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 9, page no.c812-c820, September-2025, Available :http://www.jetir.org/papers/JETIR2509295.pdf

"Estimation of Environmental Noise through Multiple Linear Regression Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 9, page no. ppc812-c820, September-2025, Available at : http://www.jetir.org/papers/JETIR2509295.pdf