Adoptive Neuro-Fuzzy Inference System for Traffic Noise Prediction

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Provided by: International Journal of Computer Applications
Topic: Networking
Format: PDF
An Adaptive Neuro-Fuzzy Inference System (ANFIS) is implemented to evaluate traffic noise under heterogeneous traffic conditions of Nagpur city, India. The major factors which affect the traffic noise are traffic flow, vehicle speed and honking. These factors are considered as input parameters to ANFIS model for traffic noise estimation. The proposed ANFIS model has implemented for traffic noise estimation at eight locations. The results have been compared and analyzed with observed noise levels and the coefficient of co-relation between observed and predicted noise level was found to be in range of 0.70 to 0.95.
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