International Roughness Index specifications around the world

被引:124
作者
Mucka, Peter [1 ]
机构
[1] Slovak Acad Sci, Inst Mat & Machine Mech, Bratislava, Slovakia
关键词
highways and roads; surface roughness; pavement management; road profile; International Roughness Index (IRI); threshold; road maintenance;
D O I
10.1080/14680629.2016.1197144
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The International Roughness Index (IRI) is an indicator used worldwide for the characterisation of longitudinal road roughness. This study summarised IRI limit values for new, reconstructed, or rehabilitated roads; for in-service (existing) roads; and road classification schemes used around the world. An overview of practices in 35 US states and 29 non-US states was provided. Limit values are a function of road surface type, road functional category, road speed limit, road construction type, or average annual daily traffic (AADT). IRI specifications are defined for a broad range of evaluation lengths from several metres to the entire length of a section. Large differences in IRI limit values were observed for the same segment length among various countries. The IRI-based methodology used in US states was compared with that used in non-US countries. Non-US countries used more often specifications as a function of road functional category and AADT, and are based on percentile of IRI observations. US states used more often pay adjustment and specifications as a function of road construction type and road speed limit.
引用
收藏
页码:929 / 965
页数:37
相关论文
共 68 条
[1]  
Aashto AA, 2008, MECH EMPIRICAL PAVEM
[2]  
Alberta Transportation, 2015, ALB TRANSP ANN REP
[3]  
American Association of State Highway and Transportation Officials, 1998, AASHTO GUID DES PAV
[4]  
American Association of State Highway and Transportation Officials, 2013, R4313 AM ASS STAT HI
[5]  
American Society for Testing and Materials, 2015, E1926082015 AM SOC T
[6]  
Asphaltic Concrete Surface Smoothness, 2014, ASPH CONCR SURF SMOO
[7]  
ASTM, 2009, E950E950M09 ASTM
[8]  
Australroads, 2007, AGAM05B07
[9]  
Bennett C. R., 2004, P 6 INT C MAN PAV LE
[10]   Precision Bounds of Pavement Distress Localization with Connected Vehicle Sensors [J].
Bridgelall, Raj .
JOURNAL OF INFRASTRUCTURE SYSTEMS, 2015, 21 (03)