基于静动态抗滑特性的路面构造深度测量算法

doi:10.3969/j.issn.0258-2724.20180282

基金项目:国家自然科学基金（51608048，51978071）；长安大学中央高校基本科研业务费专项资金资助（300102240202）

详细信息

作者简介:
冯兴乐（1971—），男，教授，博士，研究方向为智能交通与信息系统、宽带无线通信技术，E-mail：xlfeng@chd.edu.cn

中图分类号:TN247
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- 被引次数:0
出版历程
- 收稿日期:2018-05-15
- 修回日期:2018-06-27
- 网络出版日期:2020-04-20
- 刊出日期:2020-06-01

Texture Depth Measured Method of Pavement Based on Static and Dynamic Anti-Sliding Characteristics

摘要

摘要:路面湿滑是诱发交通事故的重要因素，为了解决构造深度和摩擦系数分别从路面静态纹理和动态摩擦运动角度方面反映路面抗滑性时存在的不一致问题，基于激光视觉测量方法得到沥青路面点云数据，提出一种有效构造深度测量算法；首先利用B样条对点云数据进行断点插值，在研究轮胎和路面接触摩擦的几何结构和抗滑机理的基础上，修正路表凹陷点数据；采用断面法估算构造深度，并和摩擦系数测试仪所得的数据进行相关性分析. 研究结果表明：本算法得到的横向和纵向平均构造深度与摩擦系数的相关系数分别为0.896和0.887，优于铺砂法的0.504；该方法能通过静态的构造深度隐性地反映动态的摩擦系数，兼具激光视觉测量方法的高效率和摩擦系数刻画抗滑性能的客观性，达到效率和精度的统一.
- 沥青路面/
- 激光视觉/
- B样条/
- 摩擦系数/
- 构造深度
Abstract:The slippery surface of asphalt pavement is one of the leading major causes of traffic accidents. The mean texture depth (MTD) reflects the performance of skid resistance using a static texture of the pavement, while the friction coefficient reflects it through dynamic friction motion. Aimed to eliminate the difference between aforementioned two factors, a novel measurement method was proposed for effective texture depth. The point cloud data obtained by laser vision technology was studied. Firstly, B-spline was employed to interpolate the break-point of cloud data. Secondly, the concave points were removed according to the geometrical construction and anti-sliding mechanism of contact friction between the tire and road surface. Finally, the correlation between the MTD estimated by cross section method and data measured by the friction coefficient tester was analyzed. The results show that both the transverse and longitudinal MTD based on the proposed model could achieve stronger correlations with friction coefficient, compared with the traditional sand patch test. Their correlation values are 0.896 and 0.887, respectively, which are better than 0.504 of the sand patch test. The proposed method can implicitly reflect the dynamic friction coefficient through the static texture depth, and take full advantage of the high efficiency of the laser vision measurement and the objectivity of the friction coefficient, thereby achieve the desired balance of accuracy and efficiency.
- asphalt pavement/
- laser vision/
- B-spline/
- friction coefficient/
- texture depth

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图 1检测系统原理

Figure 1.Schematic diagram of detection system

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图 2断点插值过程

Figure 2.Breakpoint interpolation procedure

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图 3几何法修正深陷点

Figure 3.Remove the concave points

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图 4几何法修正深陷点流程

Figure 4.Process chart of remove concave points

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图 5路面重构过程

Figure 5.Pavement reconstruction

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图 6平均断面深度求解示意

Figure 6.MPD solving method

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图 7MPD和MTD线性关系

Figure 7.Linear relationships between MPD and MTD

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图 83种方法结果对比框图

Figure 8.Result contrast graph (three methods)

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表 1摩擦系数对比

Table 1.Friction coefficient contrast

构造深度/mm	摩擦系数（无量纲）
构造深度/mm	拉毛	露石	刻槽
≤ 0.7	0.97	0.95	0.55
(0.7,0.8]	0.99	0.97	0.64
(0.8,0.9]	0.98	0.88	0.56
(0.9,1.0]	1.07	0.82	0.62

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表 2MTD与MPD平均值

Table 2.Mean results of MTD and MPD mm

试件编号	h_MPD	h_MTD
1-1	0.616 9	0.659 0
1-2	0.631 4	0.608 6
1-3	0.429 1	0.525 9
1-4	0.459 1	0.555 1
1-5	0.660 5	0.622 6
1-6	0.856 3	0.903 4
1-7	0.869 5	0.859 2
1-8	0.917 2	0.935 3
1-9	0.898 5	0.865 6
1-10	0.852 3	0.889 9

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表 3传统算法和本文算法结果对比

Table 3.Comparative results between traditional algorithm and its algorithm

试件编号	铺砂法检测MTD/mm	本文算法检测/mm		摩擦系数
试件编号	铺砂法检测MTD/mm	横向MPD	纵向MTD	摩擦系数
2-1	0.715 6	0.693 5	0.652 8	0.89
2-2	0.651 2	0.705 1	0.651 2	0.91
2-3	0.745 9	0.543 3	0.505 2	0.85
2-4	0.652 1	0.535 3	0.605 8	0.87
2-5	0.722 7	0.691 2	0.655 6	0.92
2-6	0.869 7	0.885 0	0.831 4	0.94
2-7	0.952 4	0.895 6	0.895 6	0.96

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