Classification of vehicles using adaptive neuro fuzzy inference system

With the advancements and the growth in the technology the number of vehicles are increasing now a days. More number of vehicles has led to more amount of traffic. The increase in traffic exhibits more congested routes. Acoustic signals generated by different vehicles can be considered as important parameter for the identification and classification of vehicles. Classification of vehicles using their acoustic signal helps in controlling the traffic and identifying the vehicles into different categories. In this research paper different feature extraction techniques and classification of two wheelers and four wheelers using adaptive neuro fuzzy inference system classifier have been performed. The data is represented with the membership functions. Fuzzy logic system is trained with artificial neural network by modifying the membership functions. The main focus is the classification procedure using adaptive neuro fuzzy inference system classifier.