This study examines city-wise road traffic noise emissions at link and district levels across through automated traffic planning. Using Rapidex traffic data, noise levels are modeled based on traffic volume and vehicle composition. To assess disparities in noise exposure, mean excess noise and Gini equality index is computed for evaluating district-level maximum and mean noise exposure and disparities. Results reveal disparities across districts highlighting the need for equitable noise mitigation strategies targeting socio-economic vulnerabilities.