2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition
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...
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Online Access: | https://doi.org/10.1186/s43065-021-00029-y |
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doaj-6f930c100489442e95297c5c53d666202021-05-09T11:47:52ZengSpringerOpenJournal of Infrastructure Preservation and Resilience2662-25212021-05-012111510.1186/s43065-021-00029-y2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice conditionFeng Li0Gulnigar Ablat1Siqi Zhou2Yixin Liu3Yufeng Bi4Zihang Weng5Yuchuan Du6School of Transportation Science and Engineering, Beihang UniversitySchool of Transportation Science and Engineering, Beihang UniversitySchool of Transportation Science and Engineering, Beihang UniversitySchool of Transportation Science and Engineering, Beihang UniversityShandong Provincial Communications Planning and Design Institute CO., LTDKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji UniversityKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji UniversityAbstract 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.https://doi.org/10.1186/s43065-021-00029-y2D-waveletAsphalt pavementMicro-textureMacro-textureIceSnow |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Feng Li Gulnigar Ablat Siqi Zhou Yixin Liu Yufeng Bi Zihang Weng Yuchuan Du |
spellingShingle |
Feng Li Gulnigar Ablat Siqi Zhou Yixin Liu Yufeng Bi Zihang Weng Yuchuan Du 2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition Journal of Infrastructure Preservation and Resilience 2D-wavelet Asphalt pavement Micro-texture Macro-texture Ice Snow |
author_facet |
Feng Li Gulnigar Ablat Siqi Zhou Yixin Liu Yufeng Bi Zihang Weng Yuchuan Du |
author_sort |
Feng Li |
title |
2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition |
title_short |
2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition |
title_full |
2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition |
title_fullStr |
2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition |
title_full_unstemmed |
2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition |
title_sort |
2d-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition |
publisher |
SpringerOpen |
series |
Journal of Infrastructure Preservation and Resilience |
issn |
2662-2521 |
publishDate |
2021-05-01 |
description |
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. |
topic |
2D-wavelet Asphalt pavement Micro-texture Macro-texture Ice Snow |
url |
https://doi.org/10.1186/s43065-021-00029-y |
work_keys_str_mv |
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