用图像分析预测沥青路面摩擦力，成本低且精度高。
Predicting Asphalt Pavement Friction Using Texture-Based Image Indicator
- 基于集料突出面积提出新型图像指标
- 模型拟合度均超0.90，准确反映摩擦变化
- 适合路面材料设计阶段快速评估摩擦性能
路面抗滑性能对道路安全至关重要。本研究提出并验证了一种基于纹理的图像指标，用于预测路面摩擦系数。该指标可通过数字图像实现路面摩擦的简便、低成本测量。针对密级配沥青混合料、开级配摩擦层和碎石封层三种类型路面，在不同轮胎磨光循环下进行测试，同时使用动态摩擦测试仪（DFT）测量实际摩擦值。研究提出以集料突出面积作为图像指标，并为每种路面类型建立统计模型，关联该指标与摩擦系数。结果表明，所有关系的调整后R²均超过0.90。相比文献中其他图像指标，本方法更准确地反映摩擦随磨光循环次数的变化，证明其在配合比设计阶段具有成本效益。
原文摘要 · Abstract (English)
Pavement skid resistance is of vital importance for road safety. The objective of this study is to propose and validate a texture-based image indicator to predict pavement friction. This index enables pavement friction to be measured easily and inexpensively using digital images. Three different types of asphalt surfaces (dense-graded asphalt mix, open-grade friction course, and chip seal) were evaluated subject to various tire polishing cycles. Images were taken with corresponding friction measured using Dynamic Friction Tester (DFT) in the laboratory. The aggregate protrusion area is proposed as the indicator. Statistical models are established for each asphalt surface type to correlate the proposed indicator with friction coefficients. The results show that the adjusted R-square values of all relationships are above 0.90. Compared to other image-based indicators in the literature, the proposed image indicator more accurately reflects the changes in pavement friction with the number of polishing cycles, proving its cost-effective use for considering pavement friction in mix design stage.
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