In ice and snow weather, the surface texture characteristics of asphalt pavement change, which will significantly affect the skid resistance performance of asphalt pavement. In this study, five asphalt mixture types of AC-5, AC-13, AC-16, SMA-13, SMA-16 were prepared under three conditions of the original state, ice and snow. In this paper, a 2D-wavelet transform approach is proposed to characterize the micro and macro texture of pavement. The Normalized Energy (NE) is proposed to describe the pavement texture quantitatively. Compared with the mean texture depth (MTD), NE has the advantages of full coverage, full automation and wide analytical scale. The results show that snow increases the micro-scale texture because of its fluffiness, while the formation of the ice sheets on the surface reduces the micro-scale texture. The filling effect of snow and ice reduces the macro-scale texture of the pavement surface. In a follow-up study, the 2D-wavelet transform approach can be applied to improve the intelligent driving braking system, which can provide pavement texture information for the safe braking strategy of driverless vehicles.

中文翻译：

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冰雪条件下基于2D小波的沥青路面微观和宏观纹理分析

在冰雪天气中，沥青路面的表面纹理特征发生变化，这将显着影响沥青路面的防滑性能。在这项研究中，在原始状态（冰和雪）的三个条件下制备了5种AC-5，AC-13，AC-16，SMA-13，SMA-16沥青混合料。本文提出了一种二维小波变换方法来表征路面的微观和宏观纹理。提出了归一化能量（NE）来定量描述路面纹理。与平均纹理深度（MTD）相比，NE具有覆盖范围广，自动化程度高和分析范围广的优点。结果表明，由于雪的蓬松性，雪增加了微尺度的纹理，而表面冰盖的形成降低了微尺度的纹理。雪和冰的填充效果会降低人行道表面的宏观纹理。在后续研究中，二维小波变换方法可用于改进智能驾驶制动系统，该系统可为无人驾驶车辆的安全制动策略提供路面纹理信息。