Urbanization and the rapid increase in vehicular traffic have led to heightened noise pollution levels in urban areas. This study aims to analyze the relationship between traffic volume and environmental noise pollution at four major urban locations: ABIDS, JUBILEE HILLS, JEEDIMETLA, and JNTU. Key traffic parameters such as traffic volume, Peak Hour Factor (PHF), and Free Flow Speed (FFS) were recorded, while noise measurements including Equivalent Continuous Sound Level (Leq) were collected during both day and night. Additionally, Traffic Noise Index (TNI) and Noise Pollution Level (Lnp) were computed using established methods. A multiple linear regression analysis was conducted to assess the influence of traffic characteristics on noise levels. The high coefficient of determination (R² = 0.905) demonstrates a strong correlation between noise levels and traffic variables like traffic volume, PHF, and roadway capacity. Furthermore, roadway capacity and Level of Service (LOS) were evaluated at each site based on Highway Capacity Manual (HCM) guidelines. LOS values ranged from B to E, reflecting varying degrees of congestion and traffic operational efficiency. The findings highlight the significant role of traffic parameters in contributing to urban noise pollution and road performance. These insights can support urban planners and traffic engineers in designing effective traffic management and noise mitigation strategies, ultimately improving urban environmental quality.
Jarpula Kethan Sai (Mon,) studied this question.