Abstract:Pavement smoothness is one of the main technical indexes for evaluating pavement quality. The traditional method of pavement smoothness measurement has low detection efficiency and high labor intensity, which is difficult to meet the needs of quick road inspection and highway maintenance. The mobile measurement system can quickly and dynamically obtain high-precision road point cloud data and reproduce the detailed features of the road in detail. Therefore, by analyzing the accuracy characteristics of the on-board point cloud and the calculation method of international smoothness IRI, this paper proposes a method for pavement smoothness detection by using the on-board laser point cloud. Firstly, the on-board point cloud data is preprocessed and the pavement points are extracted along the direction of the wheel track belt. Then, the road elevation is obtained by means of equal spacing neighborhood mean sampling points. Finally, IRI was calculated using the road elevation value and compared with the calibration results calculated by high-precision leveling data. The experimental results show that the vehicle mobile measurement system can be used for the rapid detection of road surface smoothness. It provides technical support for road 3D quick inspection and road maintenance
