School of Transportation, Southeast University, No.2 Sipailou, Nanjing 210096,
Cockrell School of Engineering, the University of Texas at Austin, 301 E. Dean Keeton Street, ECJ 6.112, Austin, TX 78712, USA.
Sensors (Basel). 2019 Jan 11;19(2):278. doi: 10.3390/s19020278.
Tire⁻pavement interactions, like friction and rolling resistance, are significantly influenced by pavement macro-texture and micro-texture. Accurate texture measurement at the micro-texture level is vital to achieve the desired level of safety, comfort, and sustainability of the pavement. However, the existence of dropouts and spikes in the collected data is still inevitable based on current laser devices, which leads to erroneous texture characterization. This study utilized an advanced laser sensor to measure three-dimensional (3D) pavement texture at the micro-level at a given speed. Using a proposed interpolation method, the dropout areas in the raw measurements were filled up. Butterworth's high-pass and low-pass filters were applied to separate two texture components from the profile. Based on a statistical analysis for the micro-texture amplitude, an appropriate threshold was determined in order to identify the spikes. A three-step-spike-removal method was proposed and found to be effective in clearing the spikes. The 3D pavement profiles were finally reconstructed without dropouts and spikes. Mean profile depth (MPD) was calculated with different baselines. It was found that the presence of spikes leads to a greater MPD value and the MPD is sensitive to the baseline length. A shorter baseline is recommended to mitigate the impact of spikes on the accuracy of the MPD.
轮胎-路面相互作用，如摩擦和滚动阻力，受路面宏观纹理和微观纹理的显著影响。在微观纹理层面上进行准确的纹理测量对于实现路面的预期安全、舒适和可持续性水平至关重要。然而，基于当前的激光设备，在收集数据时仍然不可避免地会出现数据缺失和尖峰，这会导致错误的纹理特征描述。本研究利用先进的激光传感器在给定速度下测量微尺度的三维（3D）路面纹理。使用提出的插值方法，填充原始测量中的缺失区域。应用巴特沃斯高通和低通滤波器从轮廓中分离出两个纹理分量。基于对微纹理幅度的统计分析，确定了一个适当的阈值来识别尖峰。提出了一种三步尖峰去除方法，发现该方法能有效地去除尖峰。最终，没有数据缺失和尖峰的三维路面轮廓被重建。使用不同的基线计算平均剖面深度（MPD）。结果发现，尖峰的存在会导致 MPD 值增大，并且 MPD 对基线长度敏感。建议使用较短的基线来减轻尖峰对 MPD 准确性的影响。
