Evaluation of pavement surface texture significance and measurement techniques

Wear ◽  
1982 ◽  
Vol 83 (2) ◽  
pp. 351-368 ◽  
Author(s):  
James C. Wambold ◽  
John Jewett Henry ◽  
Rudolph R. Hegmon
Keyword(s):  
Surface Texture ◽  
Measurement Techniques ◽  
Pavement Surface

Evaluation of pavement surface texture at the network level

2018 ◽  
Vol 34 (1) ◽  
pp. 87-98
Author(s):  
Shuvo Islam ◽  
Mustaque Hossain ◽  
Richard Miller
Keyword(s):  
Surface Texture ◽  
Pavement Surface

Comparison of Sand Patch Test and Multi Laser Profiler in Pavement Surface Measurement

2014 ◽  
Vol 70 (4) ◽  
Author(s):  
Haryati Yaacob ◽  
Norhidayah Abdul Hassan ◽  
Mohd Rosli Hainin ◽  
Muhammad Fudhail Rosli
Keyword(s):  
Regression Analysis ◽  
Patch Test ◽  
Measurement Techniques ◽  
Test Methods ◽  
Measurement Methods ◽  
Surface Measurement ◽  
Test Analysis ◽  
Pavement Surface ◽  
Road Pavement ◽  
Sand Patch

Pavement surface texture has been assessed with variety of test methods such as sand patch test and multi laser profiler. In recent years, road administrations face the issues of handling data acquired by totally different methods and the inconsistent correlation between different methods. Therefore, the objective of this study is to determine and compare the texture depth value of road pavement measured by different methods namely sand patch test and multi laser profiler. This paper compares the results of two measurement methods for pavement surface macro texture which referred as mean texture depth (MTD). Tests were conducted along North–South Expressway, between km 110.5 and km 107.2 (Southbound). T-test analysis shows that there is statistically significance difference on the result obtained between these methods along emergency lane. However for slow lanes,it was found that there is no significance between sand patch test and laser based measurement. Regression analysis shows that the coefficient of correlation, R obtained from emergency lane is 0.3719 and slow lane is 0.4579. These results generally conclude that there were weak correlations between the result of these two measurement techniques.

High-Speed Noncontact Profiling of Pavement Surface Texture and Its Significance

1986 ◽  
Vol 108 (3) ◽  
pp. 455-461
Author(s):  
J. C. Wambold ◽  
J. J. Henry
Keyword(s):  
Surface Texture ◽  
High Speed ◽  
Large Scale ◽  
Vision System ◽  
Small Scale ◽  
Skid Resistance ◽  
Texture Measurement ◽  
Pavement Surface ◽  
Texture Characteristics ◽  
Regression Techniques

It is generally agreed that the friction between a tire and a wet pavement (skid resistance) is controlled by the surface texture characteristics. Therefore, by measuring the relevant parameters describing texture, or by measuring a physical process dependent on texture, regression techniques can be used to relate skid resistance to the chosen texture parameter or process. Two scales of texture are of particular importance: microtexture (small-scale asperities) and macrotexture (large-scale asperities). This paper describes work performed to: (1) review candidate macrotexture and microtexture measurement methods that can be made at highway speeds (at or about 64 km/h [40 mph]), which are presently used or have potential for use in pavement texture measurement; (2) design and build a prototype of the most promising method; and (3) evaluate the effects of pavement surface texture on skid resistance. A prototype noncontact vision system that makes texture measurements at highway speeds was developed, and several improvements were made to upgrade the system to provide an improved prototype. Both hardware and software enhancements have yielded a texture measurement system that can obtain pavement macrotexture data in a fast, efficient, and reliable way.

Characterization of Asphalt Pavement Surface Texture

2012 ◽  
Vol 2295 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Timothy Miller ◽  
Daniel Swiertz ◽  
Laith Tashman ◽  
Nader Tabatabaee ◽  
Hussain U. Bahia
Keyword(s):  
Spectral Analysis ◽  
Surface Texture ◽  
Asphalt Pavement ◽  
Friction Characteristics ◽  
Frictional Properties ◽  
Pavement Surface ◽  
Analysis Methods ◽  
Texture Parameters ◽  
Laser Profiling

This paper presents improved analysis methods for characterizing asphalt pavement surface texture and focuses on the use of laser profiling techniques to estimate friction characteristics. Derived from signal processing theories, texture spectral analysis methods show promise for improving characterization of the tire–pavement interface. Texture parameters measured with spectral analysis techniques represent a means for quantifying surface properties. Current methods to analyze frictional properties rely on the mean profile depth (MPD) and mean texture depth (MTD) texture parameters. Although these parameters are used widely, they do not capture the range and distribution of surface asperities on the pavement surface. Knowing the distribution of surface asperities is critical for assessing friction characteristics. Thus, texture spectral analysis methods are anticipated to improve on the MPD and MTD parameters by capturing relevant texture-level distributions. This study investigates the applicability of laser profiling systems for measuring pavement surface texture and subsequent relationships to friction. Models accounting for aggregate and mixture properties are developed and related to texture parameters through analysis of constructed field sections and corresponding laboratory samples. Results indicate that stationary laser profiling systems can capture the microtexture and macrotexture spectrum and suggest that a comprehensive friction characterization of asphalt mixtures can be obtained in a laboratory setting. With this analysis system, it is believed that asphalt mixture designers will have an improved tool by which to estimate pavement surface texture and frictional properties.

scholarly journals Surface Texture And Layer Permeability Of Aquaplaning Resistant Asphalt Pavements

2021 ◽  
Vol 1202 (1) ◽  
pp. 012026
Author(s):  
Audrius Vaitkus ◽  
Dovydas Skrodenis ◽  
Ovidijus Šernas ◽  
Viktoras Vorobjovas
Keyword(s):  
Traffic Safety ◽  
Surface Texture ◽  
Large Scale ◽  
Water Film ◽  
Limestone Powder ◽  
Asphalt Pavements ◽  
Porous Asphalt ◽  
Permeability Characteristics ◽  
Pavement Surface ◽  
Noise Absorption

Abstract Tire/pavement noise is one of the biggest environmental problems caused by the contact between the car tire and the pavement surface. It is known that porous asphalt (PA) pavements has good properties in noise absorption, however these mixtures could also solve another important problem which appear on roads – aquaplaning. This phenomenon reduces traffic safety and driving comfort. Aquaplaning appears when tires become separated from the pavement surface by thin water film and the ability to increase braking force or control the vehicle motion is almost entirely lost. Although, PA pavements have relatively low durability properties. This research aims analyse surface texture and permeability characteristics of aquaplaning resistant asphalt pavements. Four different mixtures with different largest particle size (AT 5, AT 8, AT 11 and AT 16) were tested. Large-scale laboratory testing was performed to evaluate their surface texture and permeability properties The research revealed, that mixtures with 8 % activated mineral limestone powder (AMLP) showed better mechanical and physical properties than comparing to other mixtures with 4 % AMLP and 4 % granite screenings or just 4 % AMLP.

Evaluation and Measurement Method for Texture Depth of Exposed-Aggregate Cement Concrete Pavement Surface Based on Digital Imaging Technique

2011 ◽  
Vol 460-461 ◽  
pp. 66-70
Author(s):  
Chen Ning
Keyword(s):  
Digital Image ◽  
Surface Texture ◽  
Measurement Method ◽  
Dimensional Space ◽  
Concrete Pavement ◽  
Least Square ◽  
Cement Concrete ◽  
Pavement Surface ◽  
Cement Concrete Pavement ◽  
Image Technique

In order to study the surface characteristics of exposed-aggregate cement concrete pavement, the measurement mechanism of surface texture depth was analyzed by using digital image technique. Based on the principle of least square and Table curve 3D software, two-dimensional digital image of road surface was reconstructed into three-dimensional space surface and a method of evaluating and measuring pavement surface texture depth was put forward. With this method， digital image samples were calculated and the results were compared with the results of conventional measurement method. The results indicate that exposed-aggregate cement concrete pavement has excellent road characteristics; there is a good correlation between the digital image technique and the traditional sand patch method and the relative error is less than 7 percent. Thus, the digital image technique is feasible in evaluating and measuring pavement surface texture depth.

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