2026-06-17T16:38:32Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/89362024-04-16T00:05:20Zcom_10259_8929com_10259_5086com_10259_2604com_10259_4204col_10259_8930col_10259_5373
Pérez Acebo, Heriberto
Gonzalo Orden, Hernán
Findley, Daniel J.
Rojí, Eduardo
2024-04-15T08:15:18Z
2024-04-15T08:15:18Z
2020-11
0950-0618
http://hdl.handle.net/10259/8936
10.1016/j.conbuildmat.2020.120041
This article predicts the available minimum skid resistance in the road network of Biscay (Spain)
with data collected in the summer season when friction values are at a minimum. Firstly, it was
observed that pavement structure does not influence skid resistance. Therefore, roadway segments
with available data about the surface layer of single or double carriageway roads were analyzed. Two
models were developed: 1) short model with only the surface material, average annual daily traffic,
and number of lanes (no pavement history required) and 2) a long model which adds the required
Polished Stone Value to improve the prediction. These models can help road agencies to identify the
roads where lower skid resistance values are more probable to be obtained to focus their attention
and efforts.
eng
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Skid resistance
Friction
Pavement performance model
Pavement deterioration
Pavement management system
Deterministic model
Surface layer
Pavement management
A skid resistance prediction model for an entire road network
info:eu-repo/semantics/article