Abstract: In order to obtain the movement track of vehicles in microscopic detail, this paper proposes an algorithm for reconstructing the two-dimensional track of vehicles based on the Ackermann motion model by using the two-dimensional acceleration data with high sampling rate. The GPS and acceleration data were collected synchronously through designing of automobile inertial data acquisition system a with high sampling rate in real road test. The experimental data verify that the reconstruction algorithm of vehicles’ track in this paper is effective and reliable. The proposed algorithm can solve the problems such as low acquisition rate and data drift of vehicle trajectory recorded only by GPS during driving. It has application value in the fields of analysis of vehicle track reconstruction and dangerous driving warning.