A Non-Contact Overloading Identification Method Based on Vehicle Dynamics 2019-01-0490
The vehicle overloading seriously jeopardizes traffic safety and affects traffic efficiency. At present, the static weighing station and weigh-in-motion station are both relatively fixed, so the detection efficiency is not high and the traffic efficiency is affected; the on-board dynamic weighing equipment is difficult to be popularized because of the problem of being deliberately damaged or not accepted by the purchaser. This paper proposes an efficient, accurate, non-contact vehicle overloading identification method which can keep the road unimpeded. The method can identify the vehicle overloading by the relative distance (as the characteristic distance) between the dynamic vehicle's marking line and the wheel center point. First, the dynamics model of the vehicle suspension is set up. Then，the dynamic characteristic distance of the traveling vehicle is identified from the image acquired by the calibrated camera based on computer vision and image recognition technology. The data error caused by vehicle vibration can be reduced by Kalman filter set up in this paper. Finally, the actual axle load of the vehicle can be obtained combined with the established model, which can be compared with the recorded standard data to identify overloading vehicles. In this paper, a typical dump truck is selected for the experiment. It is expected that the absolute error of the characteristic distance recognition can be controlled within 30mm, and the overloading recognition range can be controlled above 10%. The method above can effectively improve the efficiency of the overloading identification and has certain guiding significance for maintaining the safety of intelligent transportation.