PREDICTION OF NOISE CAUSED BY URBAN TRAFFIC BY ARTIFICIAL NEURAL NETWORK

Nihat MOROVA ¹ , Serdal TERZİ ¹

ABSTRACT Noise which is one of the important results of gradually increase of urbanization and technologic developments especially in recent years, as parallel with the increasing population also is important problem of environment, life and health. The important factor of the problem in urban areas is inner city traffic and noise caused by that traffic. In this study, aim of the predict of the noise caused by the traffic, various models have been developed with the Artificial Neural Network (ANN). The data obtained from various sources have been used creating the ANN models. In the model as an input data Heavy Vehicle Number (Vehicle/Hour), Light Vehicle Number (Vehicle/Hour), Total Traffic per Hour (vehicle/hour) and Speed (Km/Hour) were used and as an output data Noise caused by the traffic (Leq dB(A)) was used. Developed ANN model and predicted results of noise caused by the traffic were compared with the classical model results (measured) and it has been seen that the results ar

Keywords
Artificial Neural Network, Traffic, Noise, Artificial Intelligence Techniques, Noise Prediction ,