2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition
نویسندگان
چکیده
Abstract In ice and snow weather, the surface texture characteristics of asphalt pavement change, which will significantly affect skid resistance performance pavement. this study, five mixture types AC-5, AC-13, AC-16, SMA-13, SMA-16 were prepared under three conditions original state, snow. paper, a 2D-wavelet transform approach is proposed to characterize micro macro The Normalized Energy (NE) describe quantitatively. Compared with mean depth (MTD), NE has advantages full coverage, automation wide analytical scale. results show that increases micro-scale because its fluffiness, while formation sheets on reduces texture. filling effect macro-scale surface. follow-up can be applied improve intelligent driving braking system, provide information for safe strategy driverless vehicles.
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ژورنال
عنوان ژورنال: Journal of Infrastructure Preservation and Resilience
سال: 2021
ISSN: ['2662-2521']
DOI: https://doi.org/10.1186/s43065-021-00029-y