Noise pollution has emerged as a significant environmental issue in India, particularly in densely populated urban areas. Despite the implementation of laws and regulations aimed at controlling environmental noise, they often prove inadequate in mitigating the impact on local residents, highlighting the need for updated legislative frameworks. This study focuses on traffic-induced noise pollution in Goa, India, where equivalent continuous sound levels (Leq) were measured at 33 intersections in conjunction with traffic volume data collected by the Council of Scientific and Industrial Research-Central Road Research Institute (CSIR-CRRI), New Delhi. The data were utilized to identify key components of traffic composition and develop a predictive noise model for estimating Leq at each intersection. The models demonstrated moderate correlation between observed and predicted Leq values, with determination coefficients (R2) of 0.602, 0.623, and 0.667 for three distinct traffic categories. Notably, two-wheelers exhibited a consistent influence on Leq across all intersections, while heavy vehicles (e.g. buses, two-axle and three-axle vehicles, and Micro Air Vehicle [MAVs]) and light vehicles (e.g. cars and autorickshaws) showed variable and, at times, negligible effects on noise levels. This suggests a predominant reliance on two-wheelers in Goa. The ambient noise levels in the region were recorded at approximately 60 dB. These findings underscore the need for targeted noise mitigation strategies, particularly in regulating two-wheeler traffic, to effectively address urban noise pollution in Goa.