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<title>A skid resistance prediction model for an entire road network</title>
<creator>Pérez Acebo, Heriberto</creator>
<creator>Gonzalo Orden, Hernán</creator>
<creator>Findley, Daniel J.</creator>
<creator>Rojí, Eduardo</creator>
<subject>Skid resistance</subject>
<subject>Friction</subject>
<subject>Pavement performance model</subject>
<subject>Pavement deterioration</subject>
<subject>Pavement management system</subject>
<subject>Deterministic model</subject>
<subject>Surface layer</subject>
<subject>Pavement management</subject>
<description>This article predicts the available minimum skid resistance in the road network of Biscay (Spain)&#xd;
with data collected in the summer season when friction values are at a minimum. Firstly, it was&#xd;
observed that pavement structure does not influence skid resistance. Therefore, roadway segments&#xd;
with available data about the surface layer of single or double carriageway roads were analyzed. Two&#xd;
models were developed: 1) short model with only the surface material, average annual daily traffic,&#xd;
and number of lanes (no pavement history required) and 2) a long model which adds the required&#xd;
Polished Stone Value to improve the prediction. These models can help road agencies to identify the&#xd;
roads where lower skid resistance values are more probable to be obtained to focus their attention&#xd;
and efforts.</description>
<date>2024-04-15</date>
<date>2024-04-15</date>
<date>2020-11</date>
<type>info:eu-repo/semantics/article</type>
<identifier>0950-0618</identifier>
<identifier>http://hdl.handle.net/10259/8936</identifier>
<identifier>10.1016/j.conbuildmat.2020.120041</identifier>
<language>eng</language>
<relation>Construction and Building Materials. 2020, V. 262, 120041</relation>
<relation>https://doi.org/10.1016/j.conbuildmat.2020.120041</relation>
<rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</rights>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</rights>
<publisher>Elsevier</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>