Study of Pavement Micro- and Macro-Texture Evolution Due to Traffic Polishing Using 3D Areal Parameters

Zou, Yun; Yang, Guangwei; Huang, Wanqing; Yang, Lü; Qiu, Yanjun; Wang, Kelvin C. P.

doi:10.3390/ma14195769

Cited by 11 publications

(7 citation statements)

References 30 publications

(34 reference statements)

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“…However, further research on a larger set of data is needed to be able to describe the friction-texture relationship more thoroughly and with more statistical significance. The results of this research fit well with the conclusions from the research of the texturefriction relationship analyzed with similar photometric methods, showing that a more detailed texture analysis with additional calculated texture parameters could describe this phenomenon more precisely in comparison to traditional texture characterization methods [7,25,28,30,31].…”

Section: Resultssupporting

confidence: 84%

“…In general, image analysis methods provide more accurate and detailed information about the pavement texture properties in comparison to the standard texture characterization methods. This is especially emphasized with the 3D techniques, where important spatial parameters significant for the understanding of the pavement texture and friction relationship can be extracted [30,31]. The main disadvantage of the photometric methods is that several types of errors in the data acquisition procedure can influence the accuracy of the data.…”

Section: State-of-the-art Of Pavement Texture Characterization Via Im...mentioning

confidence: 99%

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Pavement Texture–Friction Relationship Establishment via Image Analysis Methods

Pranjić

Deluka-Tibljaš

2022

Materials

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Pavement surface texture is one of the prevailing factors for friction realization on pavement surfaces. In this paper, an overview of pavement texture properties related to the pavement frictional response is given. Image analysis methods used for pavement texture characterization are thoroughly analyzed together with their potential for the establishment of a pavement texture–friction relationship. Digital pavement surface models derived from photogrammetry or laser scanning methods enable the extraction of texture parameters comparable to the ones acquired by common pavement surface measuring techniques. This paper shows the results of a preliminary small-scale research study of the pavement texture–friction relationship. This research was performed in a laboratory which produced asphalt samples, primarily to analyze the potential of developing a methodology for the digital pavement texture model setup. Furthermore, the relationship between selected 2D texture parameters calculated from the digital texture model and measured friction coefficient expressed as SRT value was analyzed. A significant correlation was established for standard texture indicator mean profile depth (MPD) and SRT values (R = 0.81). Other texture parameters showed moderate correlation with the frictional response of the surface, with absolute values of correlation coefficients varying from 0.7 to 0.75. A further analysis of this relationship will be performed by inclusion of other texture parameters that can be determined from the digital texture model acquired by the established methodology.

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Section: Resultssupporting

confidence: 84%

Section: State-of-the-art Of Pavement Texture Characterization Via Im...mentioning

confidence: 99%

Pavement Texture–Friction Relationship Establishment via Image Analysis Methods

Pranjić

Deluka-Tibljaš

2022

Materials

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“…The cumulative height curve makes it possible to visualize in a real way the distribution of the heights of the peaks (peaks) and valleys (valleys) in the profile. The cumulative height curve is the most appropriate tool to analyze the 3D functional characteristics of a surface as numerous researches show [44]. The description of functional volume parameters is shown in Figure 9.…”

Section: Volume Parameters For Characterizing 3d Road Surfacementioning

confidence: 99%

“…[43] used a novel 0.1 mm 3D Safety Sensor to collect the pavement texture and estimated the pavement adhesion based on the detected texture characteristics by using an artificial neural network, ref. [44] conducted a field evaluation of pavement texture under actual traffic polishing using 3D areal parameters. However, these methods generate limited success primarily due to data from MPD and MTD processes that only include a small portion of pavement surface characteristics, and other important surface characteristics (such as spatial, hybrid, and so on) relevant to adhesion are ignored in the index.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Road Surface Texture for Asphalt Pavement Adhesion Assessment Using 3D Laser Technology

Liang,

Pagano,

Oddone

et al. 2024

Remote Sensing

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Pavement adhesion plays a crucial role in driving safety, while traditional test methods exhibit some limitations. To improve the efficiency and accuracy of asphalt pavement texture characterization and adhesion assessments, this paper uses three-dimensional (3D) laser technology to detect the continuous point cloud data of road surface and reconstruct the 3D topography of pavement texture. On this basis, a volume parameter Volume of peak materials (Vmp) is innovatively proposed to comprehensively characterize the 3D spatial characteristics of road surface texture. The correlation analysis between the proposed Vmp and the traditional adhesion evaluation index Transversal Adhesion Coefficient (CAT) is conducted, and then refined graded adhesion prediction models based on the proposed Vmp are proposed. Results show that the proposed volume parameter Vmp can reliably and accurately characterize the asphalt pavement texture by considering more structural properties of the road surface texture. According to the research findings of this paper, it is feasible to achieve rapid and correct assessment of asphalt pavement adhesion using 3D laser detection technology by comprehensively considering the 3D characteristics of the road surface texture.

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“…which is defined by two scale levels: micro-texture and macro-texture [ 3 ]. These two textures varies under the polishing of cumulative traffic volume (CTV) [ 4 ], which leads to the reduction of friction coefficient during road life [ 5 , 6 ]. Some studies have analyzed the evolution of friction coefficient caused by traffic polishing.…”

Section: Introductionmentioning

confidence: 99%

The influence of the pavement friction coefficient evolution caused by traffic flow on the risk of motorway horizontal curves

Shan³

et al. 2022

PLoS ONE

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The friction coefficient between the tire and the road is one of the key parameters affecting road traffic safety. The purpose of this paper is to quantify the risk of skidding for the vehicles due to the friction evolution caused by the traffic polishing in the horizontal curve. Based on the reliability theory, an innovative dynamic risk assessment model is developed in the present study for passenger cars and trucks. The influence of two traffic characteristics for pavement friction is quantified: cumulative traffic volume (CTV) and annual average daily traffic of trucks (AADTT). The speed distribution on the horizontal curve of the motorway is obtained through field experiments as the basic parameter of the model. The Hasofer-Lind Method is adopted to solve the reliability and the risk probability of vehicle skidding. The results show that in the traffic characteristics, the AADTT has a significant impact on the pavement friction; When the AADTT on the road exceeds 2000 veh/d, the increasing CTV leads to friction decrease rapidly and therefore has a significant impact on the risk of horizontal curve. Especially for roads with more than 50 million vehicles of the CTV, the risk of the horizontal curve shows a sharp increase with CTV rising. The research results can provide reference for the road maintenance department to determine the timing of road maintenance.

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Study of Pavement Micro- and Macro-Texture Evolution Due to Traffic Polishing Using 3D Areal Parameters

Cited by 11 publications

References 30 publications

Pavement Texture–Friction Relationship Establishment via Image Analysis Methods

Pavement Texture–Friction Relationship Establishment via Image Analysis Methods

Analysis of Road Surface Texture for Asphalt Pavement Adhesion Assessment Using 3D Laser Technology

The influence of the pavement friction coefficient evolution caused by traffic flow on the risk of motorway horizontal curves

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