Photogrammetric approach to detect road pavement friction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F25%3A00381302" target="_blank" >RIV/68407700:21260/25:00381302 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1371/journal.pone.0318188" target="_blank" >https://doi.org/10.1371/journal.pone.0318188</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0318188" target="_blank" >10.1371/journal.pone.0318188</a>
Alternative languages
Result language
angličtina
Original language name
Photogrammetric approach to detect road pavement friction
Original language description
This paper deals with evaluation of photogrammetric measurements of pavement macrotexture for the purposes of new non-contact method for determination of pavement skid resistance. The aim was to create a method that yields results comparable to existing pavement friction measurement techniques, particularly the sand method, and to assess whether the measurements obtained using the non-contact approach are equally effective. Additionally, the goal was to introduce and define limits for camera calibration applicable to similar cases of object measurements at close distances. Based on existing standards, specific pavement samples exhibiting various macrotexture qualities were selected. The authors conducted 23 different combinations of photogrammetric measurements based on their findings during the evaluations. A comparison of the applied procedures with a reference measurement using the sand method was made, and the measurement error rate was calculated. By evaluating the different variations of the road surface models created, it was concluded that the most reliable results for defining friction are obtained by interleaving the test specimen through a plane based on the principle of best fit using the four highest points of the macrotexture. The ideal size of the sub-areas for applying the mask is 7.5–10 mm. Photogrammetry has proven to be a suitable and accurate tool for assessing pavement surface texture and can be considered as a suitable alternative to other skid resistance measurement approaches.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20104 - Transport engineering
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PLoS ONE
ISSN
1932-6203
e-ISSN
1932-6203
Volume of the periodical
20
Issue of the periodical within the volume
February
Country of publishing house
US - UNITED STATES
Number of pages
30
Pages from-to
—
UT code for WoS article
001438464500035
EID of the result in the Scopus database
2-s2.0-85217912760