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

  • Li F
  • Ablat G
  • Zhou S
  • et al.
Citations of this article
Mendeley users who have this article in their library.

This artice is free to access.


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.




Li, F., Ablat, G., Zhou, S., Liu, Y., Bi, Y., Weng, Z., & Du, Y. (2021). 2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition. Journal of Infrastructure Preservation and Resilience, 2(1). https://doi.org/10.1186/s43065-021-00029-y

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free