基于静动态抗滑特性的路面构造深度测量算法

冯兴乐; 张海鸥; 李伟; 刘亚敏; 张绍阳

doi:10.3969/j.issn.0258-2724.20180282

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
计量
- 文章访问数: 661
- HTML全文浏览量: 273
- PDF下载量: 12
- 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

HTML全文

图 1 检测系统原理

Figure 1. Schematic diagram of detection system

下载: 全尺寸图片幻灯片

图 2 断点插值过程

Figure 2. Breakpoint interpolation procedure

下载: 全尺寸图片幻灯片

图 3 几何法修正深陷点

Figure 3. Remove the concave points

下载: 全尺寸图片幻灯片

图 4 几何法修正深陷点流程

Figure 4. Process chart of remove concave points

下载: 全尺寸图片幻灯片

图 5 路面重构过程

Figure 5. Pavement reconstruction

下载: 全尺寸图片幻灯片

图 6 平均断面深度求解示意

Figure 6. MPD solving method

下载: 全尺寸图片幻灯片

图 7 MPD和MTD线性关系

Figure 7. Linear relationships between MPD and MTD

下载: 全尺寸图片幻灯片

图 8 3种方法结果对比框图

Figure 8. Result contrast graph (three methods)

下载: 全尺寸图片幻灯片

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

下载: 导出CSV

表 2 MTD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

下载: 导出CSV

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

下载: 导出CSV

参考文献(20)

陈晓梅,田力. 基于激光轮廓检测仪的沥青路面宏观轮廓特征评价指标研究[J]. 科学技术与工程,2015,15(36): 91-98. doi: 10.3969/j.issn.1671-1815.2015.36.016

CHEN Xiaomei, TIAN Li. Macroscopic characteristics of the asphalt pavement evaluation study outline laser-based contour detector[J]. Science Technology and Engineering, 2015, 15(36): 91-98. doi: 10.3969/j.issn.1671-1815.2015.36.016

马荣贵,王建锋,李平. 沥青路面构造深度精确检测方法研究[J]. 科学技术与工程,2014,14(8): 265-268. doi: 10.3969/j.issn.1671-1815.2014.08.052

MA Ronggui, WANG Jianfeng, LI Ping. Study on precise detection method of asphalt pavement depth[J]. Science Technology and Engineering, 2014, 14(8): 265-268. doi: 10.3969/j.issn.1671-1815.2014.08.052

王晓嘉,高隽,王磊. 激光三角法综述[J]. 仪器仪表学报,2004,25(4): 601-608.

WANG Xiaojia, GAO Juan, WANG Lei. Surrey on the laser triangulation[J]. Chinese Journal of Scientific Instrument, 2004, 25(4): 601-608.

胡克波,白秀琴,谢磊. 基于机器视觉的沥青路面微观形貌检测技术研究[J]. 交通与计算机,2008,26(4): 99-102.

HU Kebo, BAI Xiuqin, XIE Lei. Research on microscopic morphology detection of asphalt pavement based on machine vision[J]. Traffic and Computer, 2008, 26(4): 99-102.

秦浪朝. 路面摩擦系数的检测与评价方法的研究[D]. 重庆: 重庆交通大学, 2015.

刘洪辉. 水泥混凝土路面抗滑性能评价指标与方法研究[D]. 西安: 长安大学, 2009.

赵方冉,邱团结,张皓. 宏观构造特征对水泥混凝土道面抗滑性的影响[J]. 中国公路学报,2016,29(7): 15-21.

ZHAO Fangran, QIU Tuanjie, ZHANG Hao. Effect of macro-texture features no anti-sliding characteristics of cement concrete pavement[J]. China Journal of Highway and Transport, 2016, 29(7): 15-21.

徐华艳. 基于线结构光的沥青路面构造深度算法研究[D]. 西安: 长安大学, 2013.

冯兴乐,徐华艳,李伟. 沥青路面结构光条质心定位算法[J]. 光电子•激光,2014,25(3): 514-520.

FENG Xingle, XU Huayan, LI Wei. Centroid position algorithm of structure optical stripe in asphalt pavement test[J]. Journal of Optoelectronics• Laser, 2014, 25(3): 514-520.

窦光武. 基于断面高程的路面构造深度计算模型研究[J]. 公路交通科技,2015,32(1): 50-55. doi: 10.3969/j.issn.1002-0268.2015.01.009

DOU Guangwu. Research of calculation model of pavement texture depth based on profile elevation[J]. Journal of Highway and Transportation Research and Development, 2015, 32(1): 50-55. doi: 10.3969/j.issn.1002-0268.2015.01.009

苗英豪,曹东伟,刘清泉. 沥青路面表面宏观构造与抗滑性能间的关系[J]. 北京工业大学学报,2011,37(4): 547-553.

MIAO Yinghao, CAO Dongwei, LIU Qingquan. Relationship between surface macro-texture and skid resistance of asphalt pavement[J]. Journal Beijing University of Technology, 2011, 37(4): 547-553.

邱志雄. 基于宏观轮廓的沥青路面抗滑性能实验研究[D]. 广州: 华南理工大学, 2014.

乐亚南. 基于曲线拟合理论的点云数据处理分析[D]. 成都: 西南交通大学, 2012.

SENG P, HARON H. Surface reconstruction techniques:a review[J]. Artificial Intelligence Review, 2014, 42(1): 59-78.

王春申,阿木古楞,刘颖. 基于三次样条的多焦面曲线拟合[J]. 微型机与应用,2011,30(10): 48-50. doi: 10.3969/j.issn.1674-7720.2011.10.015

WANG Chunshen, AMU Guleng, LIU Ying. Curve fitting of multi-focus image based on cubic spline[J]. Microcomputer & its Applications, 2011, 30(10): 48-50. doi: 10.3969/j.issn.1674-7720.2011.10.015

周兴林,蒋难得,肖旺新,等. 基于激光视觉的沥青路面构造深度测量方法[J]. 中国公路学报,2014,27(3): 11-16.

ZHOU Xinglin, JIANG Nande, XIAO Wangxin, et al. Measurement method for mean texture depth of asphalt pavement based on laser vision[J]. China Journal of Highway and Transport, 2014, 27(3): 11-16.

HALIL S, NICHLOAL F. Evaluation and comparison macro-texture and friction measurement methods[J]. Journal of Civil Engineering and Management, 2013, 19(3): 387-399. doi: 10.3846/13923730.2012.746237

CUI Xinzhuang, ZHOU Xinglin, LOU Junjie, et al. Measurement method of asphalt pavement mean texture depth based on multi-line laser and binocular vision[J]. International Journal of Pavement Engineering, 2017, 18(5): 459-471.

SENGOZ B, TOPAL A, TANYEL S. Comparison of pavement surface texture determination by sand patch test and 3D laser scanning[J]. Civil Engineering, 2012, 56(1): 73-78.

文静. 数字化技术评价沥青路面构造深度研究[D]. 西安: 长安大学, 2009.

施引文献

附加材料(0)

访问统计