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Currently, the pollution by urban vibration is a growing problem in big cities. This work proposes an analysis system of vibrations generate by automobiles over urban avenues. By digital processing of signals from measurements on the ground, a computational method that allows identifying the kind of automobiles is presented. Experimental results show evidence of the good functioning of the system, providing a tool that allows studies to go deeper into the problems generated by vibrations on communication routes, as well as its effect on nearby buildings.

Vehicle Recognition and Classification Model using a Digital Accelerometer