2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition

Feng Li,Yufeng Bi,Yuchuan Du,Zihang Weng,Siqi Zhou,Gulnigar Ablat,Yixin Liu

doi:10.1186/s43065-021-00029-y

Feng Li, Yufeng Bi + Show 5 more

Open Access

https://doi.org/10.1186/s43065-021-00029-y

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Abstract

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.

Highlights

The pavement texture refers to the characteristics of the concave-convex structure on the surface areas, and it is an important index to evaluate the roughness of the pavement surface
In snow and ice weather, the ice or snow attached to the pavement surface will fill the gap of the mixture, significantly reduce the roughness of the pavement surface texture, and significantly change the skid resistance performance of the road surface, which could lead to treacherous driving conditions (Huaxin [12, 17, 28])
A closer look at the statistic reveals that higher mean texture depth (MTD) values were measured in Stone Mastic Asphalt (SMA) specimens, which means SMA is rougher than Asphalt Concrete (AC)

Summary

Introduction

The pavement texture refers to the characteristics of the concave-convex structure on the surface areas, and it is an important index to evaluate the roughness of the pavement surface. This paper aims to implement a two-dimensional discrete wavelet transform to decompose pavement surface texture at micro and macro scales.

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Results

Conclusion