Design of Acoustic Vehicle Count System using DTW

Vehicle counting is one of the fundamental tasks in the ITS (intelligent transportation system). Although automatic vehicle counters have been proposed to retrieve realtime traffic data, current automatic vehicle counters suffer from high deployment costs, resulting in limited number of deployments. In this paper, we present a vehicle counter using sidewalk microphones. Our vehicle counter relies on two sidewalk microphones and counts vehicles using a sound map, which is a time-difference map of vehicle sound on the two microphones. We developed a vehicle count algorithm using a sound map based on DTW (dynamic time warping). Experimental evaluations reveal that our vehicle count system successfully counted vehicles with a precision of 0.92.