Towards Efficient Prediction of Highway Friction on an Annual Basis on the Texas Network [Project Summary]

Prozzi, Jorge; Sabillon, Christian; Hernandez, Joaquin; Huang, Robin; Li, Ruohan; Byers, Jamie; Xu, Hongbin; Kim, Moo Yeon; Allam, Tarek; Zhang, Shimin; University of Texas at Austin. Center for Transportation Research

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Towards Efficient Prediction of Highway Friction on an Annual Basis on the Texas Network [Project Summary]

2021-12-31
By Prozzi, Jorge ; Sabillon, Christian ; Hernandez, Joaquin ; ...

[PDF-247.05 KB]

English

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Details:

Creators:

Prozzi, Jorge ; Sabillon, Christian ; Hernandez, Joaquin ; Huang, Robin ; Li, Ruohan ; ... More +

Prozzi, Jorge ; Sabillon, Christian ; Hernandez, Joaquin ; Huang, Robin ; Li, Ruohan ; Byers, Jamie ; Xu, Hongbin ; Kim, Moo Yeon ; Allam, Tarek ; Zhang, Shimin Less -
Corporate Creators:

University of Texas at Austin. Center for Transportation Research
Contributors:

Pridgen, Shelley
Corporate Contributors:

Texas Department of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration

Texas Department of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Highways Macrotexture Pavements Skid Resistance Testing Equipment Texture
Publication/ Report Number:

0-7031
Resource Type:

Brief
Geographical Coverage:

Texas ; United States

Texas ; United States Less -
Corporate Publisher:

University of Texas at Austin. Center for Transportation Research
Abstract:

The researchers conducted a thorough analysis of texture, its effects on pavement friction, and the different testing methods to measure it. The basic principles that govern roadway friction, the main friction-generating mechanisms, and the different equipment used to measure pavement friction were also thoroughly investigated. Finally, they summarized the most promising developments in predicting skid data and using texture information found across the literature.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:792979bb2bcd119cf342afb3972ba34fa5fb6d5a8041d97a192c20b7bbf2ca69
Download URL:

https://rosap.ntl.bts.gov/view/dot/66205/dot_66205_DS1.pdf
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No Additional Files

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Towards Efficient Prediction of Highway Friction on an Annual Basis on the Texas Network [Project Summary]

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