Guide for Pavement Friction

Hall, Jim W.; Smith, Kelly L.; Titus-Glover, Leslie; Wambold, J C; Yager, Thomas J.; Rado, Zoltan

doi:10.17226/23038

Cited by 41 publications

(26 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general, there are two main groups of measuring methods, according to the way of describing the skid resistance. From a physical perspective, there are devices measuring the tangential force at the contact between the tire and the pavement surface, which gives the dimensionless coefficient of friction in relation to the perpendicular normal force (wheel load) [2,3]. From a geometric point of view, there are devices capturing the morphology of the pavement surface (the pavement texture).…”

Section: Introductionmentioning

confidence: 99%

Pavement Friction Prediction Using 3D Texture Parameters

2021

View full text Add to dashboard Cite

This article deals with the possibility of predicting skid resistance based on non-contact scanning of the road surface. The study is based on comparing pavement texture parameters with coefficients of friction measured on a wide variety of road surfaces, while other test conditions were the same and constant. The measurements of the coefficient of friction were performed using a pendulum tester. The pavement texture was measured using a static road scanner, and 85 different 3D texture parameters were calculated. The study shows that the determination of the friction using only single texture parameters is not sufficient. Based on this statement, the next part of the research analyzed the influence of the mutual combination of surface texture parameters. A linear regression model was chosen to determine the friction coefficient prediction formula based on the combination of texture parameters. Statistically, the most significant parameters in the prediction model proved to be the valley material portion, characterizing the microtexture, and the arithmetic mean curvature, characterizing the pavement macrotexture. The obtained regression model proved to be statistically significant with R2 = 0.81 for Pendulum Test Value prediction.

show abstract

Section: Introductionmentioning

confidence: 99%

Pavement Friction Prediction Using 3D Texture Parameters

2021

View full text Add to dashboard Cite

show abstract

“…The exact nature of the relationship between pavement friction and wet roadway crashes is site-specific, because it is defined not only by pavement friction but by many other factors. Thus, pavement friction and wet roadway crashes relationships must be developed for each of the sites that are typically present in a given pavement network (Hall et al 2009). , 3.…”

Section: Incorporating Road Safety Into Pavementmentioning

confidence: 99%

Economic Development Impact of Preservation Projects

Ke¹,

Losada-Rojas²,

Chacon-Hurtado³

et al. 2019

View full text Add to dashboard Cite

The Joint Transportation Research Program serves as a vehicle for INDOT collaboration with higher education institutions and industry in Indiana to facilitate innovation that results in continuous improvement in the planning, design, construction, operation, management and economic efficiency of the Indiana transportation infrastructure. Further information about JTRP and its current research program is available at https://engineering.purdue.edu/JTRP.

show abstract

“…The 80−90% of the total volume of the asphalt mix or the 90−96% of the total weight of the asphalt mix consists of fillers, sieves, and aggregates (Kogbara et al, 2016;Lodhi & Yadav, 2016;Šneideraitienė & Žilionienė, 2019). Aggregates are one of the main components of asphalt mixtures (Ciont et al, 2017;Gautam et al, 2018) and must comply with the Lithuanian TRA Aggregates 19 (Lithuanian Road Administration…, 2019) standard for quality (Bulevičius et al, 2013;Haritonovs et al, 2016;Kogbara et al, 2016;Lodhi & Yadav, 2016;Šneideraitienė et al, 2016;Vaitkus et al, 2017а, 2017b. Asphalt mixtures consisting of aggregates bound with a bitumen binder are widely used as a material of surfacing.…”

Section: Introductionmentioning

confidence: 99%

“…These are frictional contributions from rubber wear and surface (or micro) hysteresis as opposed to bulk hysteresis. Tests have verified the cohesion loss component of friction due to rubber wear over the past decade (Hall et al, 2009). In contrast to adhesion, skid resistance represents only one single contact element between the tire and the road surface.…”

mentioning

confidence: 95%

See 1 more Smart Citation

Assessment of Skid Resistance of Road Pavements

Šneideraitienė

Žilionienė

2020

BJRBE

View full text Add to dashboard Cite

The quality of the paved road depends not only on the decisions of the road designer and the work carried out but also on the materials used. Most of the aggregates used are imported from other countries. However, the usage of domestic materials reduces the cost of the road pavement and the use of aggregates produced by a special production technology in Lithuania, i.e., dolomite aggregates instead of granite aggregates. Experimental studies were carried out on the skid resistance of the road surface. It was found that the coefficient of skid resistance met the requirements for surface dressing with dolomite aggregate, and the results were analysed with 95% probability. This coefficient partially met the requirements for asphalt concrete, while it did not meet the requirements at all for stone mastic asphalt. The surface roughness, however, met the requirements for road sections where granite aggregates were used instead of dolomite in mixes of surface dressing and asphalt concrete. The analysis was carried out considering the volume of traffic and the service life of the individual road sections. It was determined that it was suitable for a 5-year guarantee period to perform the surface dressing, wearing course of asphalt concrete and stone mastic asphalt with dolomite aggregate where part of heavy vehicles is less than 20% of traffic flow. The use of granite aggregates was justified only in the road where heavy vehicles dominated.

show abstract

Guide for Pavement Friction

Cited by 41 publications

References 11 publications

Pavement Friction Prediction Using 3D Texture Parameters

Pavement Friction Prediction Using 3D Texture Parameters

Economic Development Impact of Preservation Projects

Assessment of Skid Resistance of Road Pavements

Contact Info

Product

Resources

About