Unpleasant sound is known to be a solemn menace to life and social existence, the
relevance of this research work is in the application of neural networks to real-time traffic data from
road traffic sound measurement. Traffic data were collected with the aid of a sound meter of a high
accuracy grade. The peak traffic sound level that causes disturbance to human beings known as L10
was measured in (dB(A)) which was sampled in Twelve (12) locations selected for the study in
Lokoja, Kogi State Nigeria, and the associated noise levels were predicted by the application of a neural
network. The output obtained shows the highest value of L10 to be 86 dB(A) while the lowest value
is 73 dB(A) in the sites considered. The results of the Neural Network output show a strong
connection between the results obtained when the calculation of the road traffic noise model (CRTN)
a methodology was deployed.
Keywords: Neural Network; Noise pollution; Multi-layer perceptron; L10.