Pavement roughness index measurements with a 3D line laser
GUO Runhua1, XU Li2, PENG Huiting2, CAO Zhijian1, GENG Jingjie2
1. Department of Civil Engineering, Tsinghua University, Beijing 100084, China; 2. College of Construction Engineering, Xinjiang University, Urumqi 830047, China
Abstract：This paper describes the longitudinal layout and working principle of a 3D line laser profilometer with a moving reference algorithm based on the line laser design which can continuously measure the longitudinal contour of a track plane at 20~100 km/h. The device is placed on the left and right wheel track belts. The line laser survey path is 270 mm long and the vertical accuracy is 0.01 mm. The system was used to measure two sections of different quality asphalt pavement contours over distances of 10 m and 100 m to determine the international roughness index (IRI) for each section. The results show that the IRI at various speeds had a relative measurement error less than 3%. At low speeds, the left and right contour graph standard deviations were less than 0.3 and less than 0.6 at higher variable speeds. Measurements using a digital test vehicle gave poor results for quick starts with distorted data over the first 50 m. Thus, the initial values for the standard gold car model were taken from the first quarter of the dynamic response model results as the initial value. For the right contour graph, 91.4% of the data had coefficients of variation less than 5% and 8.6% of the coefficients of variation were less than 15%. For the left contour graph, 94.2% of the coefficients of variation were less than 5% and 5.8% of the coefficients of variation were less than 10%. The IRI results at sites 1 and 2 were in line with the actual service conditions of the road surfaces. The evaluations show that this dynamic monitoring system can accurately measure the IRI at both low speeds and variable speeds. This system can be used for pavement flatness surveys and pavement service status assessments.
呙润华, 徐粒, 彭慧婷, 曹志坚, 耿靖杰. 三维线激光国际平整度指数计算原理及测试评估[J]. 清华大学学报（自然科学版）, 2021, 61(11): 1316-1324.
GUO Runhua, XU Li, PENG Huiting, CAO Zhijian, GENG Jingjie. Pavement roughness index measurements with a 3D line laser. Journal of Tsinghua University(Science and Technology), 2021, 61(11): 1316-1324.
[1] LOPRENCIPE G, CANTISANI G, DI MASCIO P. Global assessment method of road distresses[Z]. Tokyo:CRC Press, 2015. [2] World Road Association. Report of the committee on surface characteristics[C] //XVIII World Road Congress, Brussels, Belgium, 1987. [3] HANNA A N. Guide for pavement friction:Background and research[M]. Washington, DC:Nchrp Research Results Digest, 2009. [4] SAYERS M, GILLESPIE T D, QUEIROZ C A. International experiment to establish correlation and standard calibration methods for road roughness measurements. Volume 2:Appendices[R]. New York:World Bank, 1986. [5] American Association of State and Highway Transportation Officials. Standard practice for accepting pavement ride quality when measured using inertial profiling systems:AASHTO R 54-14[S]. Washington, DC:American Association of State and Highway Transportation Officials, 2014. [6] SAYERS M W, KARAMIHAS S M. The little book of profiling:Basic information about measuring and interpreting road profiles[M]. Michigan:The Regent of the University of Michigan, 1998. [7] YU J X, CHOU E Y J, YAU J T. Development of speed-related ride quality thresholds using international roughness index[J]. Transportation Research Record:Journal of the Transportation Research Board, 2006, 1974(1):47-53. [8] XU X, AKBARIAN M, GREGORY J, et al. Role of the use phase and pavement-vehicle interaction in comparative pavement life cycle assessment as a function of context[J]. Journal of Cleaner Production, 2019, 230:1156-1164. [9] MA Y, ZHANG W H, LI S, et al. A rut measuring method based on laser triangulation with single camera[C] //Proceedings of SPIE 9044, 2013 International Conference on Optical Instruments and Technology. Beijing, China:SPIE, 2013. [10] 常成利, 荣建, 任福田. 国际平整度指数的计算方法[J]. 北京工业大学学报, 2012(10):1543-1547. CHANG C l, RONG J, REN F T. The calculation method of international flatness index[J]. Journal of Beijing University of Technology, 2012(10):1543-1547. (in Chinese) [11] 周晓青, 颜利, 孙立军. 国际平整度指数与路面功率谱密度相关关系研究及验证[J]. 土木工程学报, 2007, 40(1):99-104. ZHOU X Q, YAN L, SUN L J. Study and validation of the relationship between international roughness index and power spectral density[J]. China Civil Engineering Journal, 2007, 40(1):99-104. (in Chinese) [12] 王大为, 王宠惠, STEINAUER B, 等. 德国不限速高速公路路面平整度评价方法综述[J]. 中国公路学报, 2019, 32(4):105-113, 129. WANG D W, WANG C H, STEINAUER B, et al. Overview on evaluation methods of pavement evenness for pavements without speed limitations in Germany[J]. China Journal of Highway and Transport, 2019, 32(4):105-113, 129. (in Chinese) [13] 张德津, 李清泉. 公路路面快速检测技术发展综述[J]. 测绘地理信息, 2015, 40(1):1-8. ZHANG D J, LI Q Q. A review of pavement high speed detection technology[J]. Journal of Geomatics, 2015, 40(1):1-8. (in Chinese) [14] CHOU C P, CHU H J, CHEN A C. Advanced runway groove identification[J]. Measurement, 2020, 152:107272. [15] CAI Z X, LI L, HU Y P, et al. Automated groove identification and measurement using long short-term memory unit[J]. Measurement, 2019, 141:152-161. [16] GROGG M G, SMITH K D. PCC pavement smoothness:Characteristics and best practices for construction[R]. Washington:Office of Acquisition Management, 2001. [17] 马荣贵, 宋宏勋. 嵌入式激光路面平整度检测系统研究[J]. 武汉理工大学学报(交通科学与工程版), 2008, 32(5):826-829. MA R G, SONG H X. An embedded laser road roughness measurement system[J]. Journal of Wuhan University of Technology (Transportation Science & Engineering), 2008, 32(5):826-829. (in Chinese) [18] 赵康, 丁磊, 王金洋. 双激光位移传感器测量路面平整度系统实现[J]. 汽车实用技术, 2012(5):61-64. ZHAO K, DING L, WANG J Y. Double laser displacement sensor measurement of pavement system[J]. Automobile Applied Technology, 2012(5):61-64. (in Chinese) [19] 周游佳, 呙润华. 基于三维技术的道路综合检测车[J]. 公路工程, 2019, 44(3):61-64. ZHOU Y J, GUO R H. Road inspection vehicle based on 3D technology[J]. Highway Engineering, 2019, 44(3):61-64. (in Chinese) [20] HE L Y, WU S S, WU C Y. Robust laser stripe extraction for three-dimensional reconstruction based on a cross-structured light sensor[J]. Applied Optics, 2017, 56(4):823-832. [21] SAYERS M W. On the calculation of international roughness index from longitudinal road profile[J]. Transportation Research Record, 1995(1501):1-12.
2021, Vol. 61 
