An Efficient Real-Time Vehicle Monitoring Method

As the major transportation infrastructure, roads play an important role in intelligent transportation system. However, the intelligent level of roads is insufficient currently, which does not match the development needs of autonomous vehicles in the near future. In order to improve the intelligence level of road infrastructures, a distributed acceleration sensing node array was embedded in the pavement to collect pavement vibration signals under the action of vehicle moving load to sense the traffic information. A complete set of processing algorithms, including raw data preprocessing algorithm, same vehicle judgment algorithm and vehicle information analysis algorithm, is proposed to extract the traffic information from the monitored vibration data. The traffic information such as vehicle speed, axle numbers, wheelbases, load position, and traffic flows are obtained. The acquired traffic information can support intelligent traffic control as well as scientific road maintenance.