Unified Analysis of Road Pavement Profiles for Evaluation of Surface Characteristics

The research deals with the measure and evaluation of the unevenness and texture of road pavements, by means of unified procedures both for surveys and processing of acquired data, with the aim to represent the surface characteristics as a spectrum in the domain of spatial frequencies (or wavelengths). The texture properties, in fact, can be referred to many aspects of pavements performances, so allowing to establish thresholds for the acceptability of new construction or to ensure good working conditions for existing road infrastructures. The advantages of the proposed unified procedures are that the measurements are taken with modern and advanced equipment, minimizing the impact on the normal road exercise; moreover, it is possible to propose an optimized area in the frequency vs. texture level graph, where the spectrum has to fall into, in order to balance some conflicting requirements. The boundaries of the area can be also referred to the specific characteristics of the examined infrastructures; if a spectrum fits into the area, an optimal behaviour of the surface is ensured, respect to the interaction phenomena between tires and pavement which are influenced by surface texture. The proposal was tested with a case study, in which thresholds of performance parameters and boundaries of the optimized area were decided onto the basis of correlations between road indexes and texture properties, coming from the scientific literature or proposed on the basis of empirical results.

[1]  Giuseppe Cantisani,et al.  Road Roughness and Whole Body Vibration: Evaluation Tools and Comfort Limits , 2010 .

[2]  J C Wambold,et al.  INTERNATIONAL PIARC EXPERIMENT TO COMPARE AND HARMONIZE TEXTURE AND SKID RESISTANCE MEASUREMENT. , 1994 .

[3]  B Steinauer,et al.  Road roughness and it's effects on the infrastructure , 2002 .

[4]  Hojat Ahmadi,et al.  Using Power Spectral Density for Condition Monitoring of Fan , 2010 .

[5]  J J Henry,et al.  TIRE NOISE AND ITS RELATION TO PAVEMENT FRICTION , 1983 .

[6]  Ulf Sandberg,et al.  The Little Book of Quieter Pavements , 2007 .

[7]  Steven M. Karamihas,et al.  Guidelines for longitudinal pavement profile measurement , 1999 .

[8]  Igor Rychlik,et al.  Vehicle fatigue damage caused by road irregularities , 2009 .

[9]  K L Smith,et al.  Guide for Pavement Friction , 2009 .

[10]  Edward T. Harrigan,et al.  NAtioNAl CooperAtive HigHwAy reseArCH progrAm , 2013 .

[11]  U Ai,et al.  The development of a heavy vehicle roughness band index (HVRBI) , 2012 .

[12]  S H Dahir,et al.  EFFECTS OF TEXTURES AND THE AGGREGATES THAT PRODUCE THEM ON THE PERFORMANCE OF BITUMINOUS SURFACES , 1979 .

[13]  Claudio Lantieri,et al.  Laser Scanning on Road Pavements: A New Approach for Characterizing Surface Texture , 2012, Sensors.

[14]  Michael W. Sayers,et al.  The little book of profiling: basic information about measuring and interpreting road profiles , 1998 .

[15]  Oldřich Kropáč,et al.  Indicators of Longitudinal Road Unevenness and their Mutual Relationships , 2007 .

[16]  Guy Descornet A CRITERION FOR OPTIMIZING SURFACE CHARACTERISTICS , 1989 .

[17]  S Iyinam,et al.  Prediction of Road Surface Friction Coefficient Using Only Macro- and Microtexture Measurements , 2005 .

[18]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[19]  R. M. Davis,et al.  Comparison of Surface Characteristics of Hot-Mix Asphalt Pavement Surfaces at the Virginia Smart Road , 2001 .

[20]  Jianghong Li,et al.  Dynamic Texture Segmentation Using Fourier Transform , 2009 .

[21]  Susan L Tighe,et al.  Incorporation of Surface Texture, Skid Resistance and Noise into PMS , 2008 .

[22]  W. E. Thompson,et al.  Measurements and power spectra of runway roughness at airports in countries of the North Atlantic Treaty Organization , 1958 .

[23]  Lu Sun,et al.  Simulation of pavement roughness and IRI based on power spectral density , 2003, Math. Comput. Simul..

[24]  Peter Múčka,et al.  Is the Road Quality Still Better , 2012 .

[25]  I. Miller Probability, Random Variables, and Stochastic Processes , 1966 .

[26]  P Cairney,et al.  A Pilot Study of the Relationship Between Macrotexture and Crash Occurrence , 2005 .

[27]  U Sandberg,et al.  ROAD SURFACE INFLUENCE ON TIRE/ROAD NOISE--1 , 1980 .

[28]  S Huschek CHARACTERIZATION OF PAVEMENT SURFACE TEXTURE AND ITS INFLUENCE ON TIRE/ROAD NOISE , 1996 .

[29]  Pietro Leandri,et al.  Empirical Rolling Noise Prediction Models Based on Pavement Surface Characteristics , 2010 .

[30]  G Descornet,et al.  Road-Surface Influence on Tire Rolling Resistance , 1990 .

[31]  Gerardo W. Flintsch,et al.  Pavement Surface Macrotexture Measurement and Applications , 2003 .

[32]  Prasanna R. Kusam,et al.  Assessing the Role of Pavement Macrotexture in Preventing Crashes on Highways , 2010, Traffic injury prevention.

[33]  J-F Hamet,et al.  ROAD TEXTURE AND TIRE NOISE , 2000 .

[34]  R M Larson,et al.  Tire pavement noise and safety performance , 1996 .