Authors :
Umar Alfa; O D Jimoh; S.S Kolo
Volume/Issue :
Volume 8 - 2023, Issue 9 - September
Google Scholar :
https://tinyurl.com/p6bu9y89
Scribd :
https://tinyurl.com/mtdxca4h
DOI :
https://doi.org/10.5281/zenodo.10013470
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.
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.
