@article{He2026, 
author = {Yulin He and Zihang Weng and Zhen Leng and Dawei Wang and Jianping Wu},
title = {A review of asphalt pavement long-term skid resistance performance based on multi-scale texture evolution characterization},
year = {2026},
journal = {Friction},
volume = {14},
number = {6},
pages = {9441157},
keywords = {asphalt pavement, multi-factor coupling, skid resistance, multi-scale texture deterioration, driving safety early warning},
url = {https://www.sciopen.com/article/10.26599/FRICT.2025.9441157},
doi = {10.26599/FRICT.2025.9441157},
abstract = {Road transport safety and comfort have gradually become the focus of social attention with the rapid development of superhighways and intelligent driving technology. To identify the research status and hotspots in skid resistance performance of asphalt pavement, this study reviews the tire‒road contact mechanism, texture deterioration behavior, and skid resistance mapping relationship, multi-factor coupled skid resistance early warning model, skid-resistant durable pavement design, and related research. The analysis shows that there are still some problems in the current research, such as an insufficient mapping relationship between mixture and texture, nonuniform testing methods, and an idealized predictive model. The Persson’s hysteretic friction model provides the most comprehensive calculation for skid resistance mechanics at present, and the Permanent International Association of Road Congresses (PIARC) model has the strongest correlation and normalization with various test methods. The skid resistance early warning model based on the analysis of temporal and spatial texture deterioration is currently a popular research topic and will provide theoretical guidance for the design of functional, durable pavement.}
}