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Abstract

The international roughness index (IIRI) has become one of the most widely employed indexes to characterize the surface roughness. However, there are still some problems in the current research on the calculation of this index by adopting vertical acceleration data of vehicles. For example, the influence of vehicle suspension parameters on the test results is not sufficiently taken into account, and the applicability of regression analysis equations between vehicle acceleration and this index is low. This paper studied a method of determining this road surface roughness index with the suspension parameters of the test vehicle considered. The actual road tests show that the relative error between the calculated results and the test results of the road multifunctional inspection vehicle is about 10%, thus verifying the reliability of the researched method.

Publication Date

9-14-2023

DOI

10.14048/j.issn.1671-2579.2023.04.011

First Page

67

Last Page

74

Submission Date

March 2025

Reference

[1] 刘云, 钱振东. 路面平整度及车辆振动模型的研究综述[J]. 公路交通科技, 2008, 25(1): 51-57. LIU Yun, QIAN Zhendong. Review of road roughness and vehicle vibration model[J]. Journal of Highway and Transportation Research and Development, 2008, 25(1): 51-57. [2] JABLONSKI B,REGEHR J,REMPEL G.Guide for mechanistic‑empirical design of new and rehabilitated pavement structures[R].Final Report,2004. [3] WARD C C, IAGNEMMA K. Speed-independent vibration-based terrain classification for passenger vehicles[J]. Vehicle System Dynamics, 2009, 47(9): 1095-1113. [4] GAGNON L, DORÉ G, RICHARD M J. An overview of various new road profile quality evaluation criteria: part 2[J]. International Journal of Pavement Engineering, 2015, 16(9): 784-796. [5] 周晓青, 孙立军, 颜利. 路面平整度评价发展及趋势[J]. 公路交通科技, 2005, 22(10): 18-22. ZHOU Xiaoqing, SUN Lijun, YAN Li. Research progress and trend of pavement roughness inidces[J]. Journal of Highway and Transportation Research and Development, 2005, 22(10): 18-22. [6] GORSICH D J, CHAIKA M, GUNTER D, et al. Terrain roughness standards for mobility and ultra-reliability prediction[C]//SAE Technical Paper Series. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2003. [7] UECKERMANN A, STEINAUER B. The weighted longitudinal profile. A new method to evaluate the longitudinal evenness of roads[J]. Road Materials and Pavement Design, 2008, 9(2): 135-157. [8] MÚČKA P. Road roughness limit values based on measured vehicle vibration[J]. Journal of Infrastructure Systems, 2017, 23(2): 04016029. [9] MÚČKA P. Correlation among road unevenness indicators and vehicle vibration response[J]. Journal of Transportation Engineering, 2013, 139(8): 771-786. [10] SAYERS M W,GILLESPIE T D,PATERSON W.Guidelines for conducting and calibrating road roughness measurements[M].Washington D.C.: World Bank Technical Paper No.46,1986. [11] SAYERS M W,GILLESPIE T D,QUEIROZ C.The international road roughness experiment: Establishing correlation and a calibration standard for measurements[M].Washington D.C.: World Bank Technical Paper No.46,1986. [12] BUTTLAR W G，ISLAM S.Integration of smart‑ phone‑based pavement roughness data collection tool with asset management system[R]，2014. [13] ISLAM S,BUTTLAR W,VAVRIK W,et al.Effect of smartphone model on measured pavement roughness[C]// International Airfield & Highway Pavements Conference,2015. [14] ISLAM S, BUTTLAR W G, ALDUNATE R G, et al. Use of cellphone application to measure pavement roughness[C]//T&DI Congress 2014. Orlando, Florida. Reston, VA: American Society of Civil Engineers, 2014: 553-563. [15] ISLAM S, BUTTLAR W G, ALDUNATE R G, et al. Measurement of pavement roughness using android-based smartphone application[J]. Transportation Research Record: Journal of the Transportation Research Board, 2014, 2457(1): 30-38. [16] KANG S W, KIM J S, KIM G W. Road roughness estimation based on discrete Kalman filter with unknown input[J]. Vehicle System Dynamics, 2018: 1-15. [17] GONZÁLEZ A, O’BRIEN E J, LI Y Y, et al. The use of vehicle acceleration measurements to estimate road roughness[J]. Vehicle System Dynamics, 2008, 46(6): 483-499. [18] 王惠勇, 张鹏. 基于智能手机的路面平整度评价方法研究[J]. 公路与汽运, 2017(5): 188-191. WANG Huiyong, ZHANG Peng. Research on the evaluation method of pavement smoothness based on smartphone[J]. Highways & Automotive Applications, 2017(5): 188-191. [19] CHEN C S, CHOU C, CHEN A C. Viscoelastic model for estimating the international roughness index by smartphone sensors[R].Transportation Research Board,Washington,D.C.,2017. [20] 雷英杰, 张善文. MATLAB遗传算法工具箱及应用[M]. 2版. 西安: 西安电子科技大学出版社, 2014. LEI Yingjie, ZHANG Shanwen. MATLAB genetic algorithm toolbox and applications[M]. Xi’an: Xidian University Press, 2014. [21] 林锰. 矩阵论教程[M]. 北京: 国防工业出版社, 2012. LIN Meng. Course of matrix theory[M]. Beijing: National Defense Industry Press, 2012. [22] 常成利. 国际平整度指数量值溯源与传递技术研究[D]. 北京: 北京工业大学, 2011. CHANG Chengli. Research on traceability and transmission technology of international flatness index[D]. Beijing: Beijing University of Technology, 2011.

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