Publication Date: 2023/10/17
Abstract: This study focuses on the assessment of road traffic noise in Minna metropolis, recognizing transportation's pivotal role in economic growth while highlighting its negative impacts on the environment and human health, particularly noise pollution. Traffic noise, constituting a significant portion of urban noise, has become a key research area for engineers and scientists due to the escalating number of vehicles on the roads, including older vehicles emitting excessive noise. The investigation encompassed three areas in Minna city: Kpakungu, Mobil roundabout, and Kure market. Noise levels were measured using calibrated sound level meters, positioned 1.2 meters above ground level and 1 meter away from the roadside to minimize potential errors. Traffic counts encompassed various vehicle types, from 2- wheelers to buses and trucks. The study employed the Calixto model, which considers total vehicle count and the percentage of heavy vehicles, to predict noise levels. The observed noise levels were then compared with calculated/predicted noise levels (Leq). Regression analysis was conducted in all areas, resulting in correlation coefficients (R2) that demonstrated strong correlations. Kpakungu displayed the highest R2 of 0.9738, followed by Mobil with 0.911, and Kure Market with the lowest but still significant R2 of 0.8931. These findings suggest that the Calixto model is applicable to Nigeria's road conditions and can serve as a valuable tool for noise level prediction in transportation planning and environmental management.
Keywords: Traffic Noise, Leq, Heterogeneous, Traffic Flow, Noise Level, Distance.
DOI: https://doi.org/10.5281/zenodo.10013470
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23SEP293.pdf
REFERENCES