In this dissertation, according to the condition of current traffic volume detection and vehicle recognition, a new method of traffic volume detection and vehicle classification with vehicle noise is presented. The noise signal of passing vehicles is gathered with microphone array, and processed off line with the method of wide-band array signal processing, then the estimation of vehicle numbers can be transformed into the estimation of signal source numbers, up and down of the vehicle can be transformed into DOA estimation of array signal processing. At the same time, vehicle types are classified using PCA method of the pattern recognition based on vehicle noise, and some primarily study is done for vehicle recognition. At last, the result of the experiment proves this method is feasible. |