RT info:eu-repo/semantics/article
T1 A skid resistance prediction model for an entire road network
A1 Pérez Acebo, Heriberto
A1 Gonzalo Orden, Hernán
A1 Findley, Daniel J.
A1 Rojí, Eduardo
K1 Skid resistance
K1 Friction
K1 Pavement performance model
K1 Pavement deterioration
K1 Pavement management system
K1 Deterministic model
K1 Surface layer
K1 Pavement management
K1 Ingeniería civil
K1 Civil engineering
K1 Resistencia de materiales
K1 Strength of materials
K1 Materiales de construcción
K1 Building materials
AB 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 wasobserved that pavement structure does not influence skid resistance. Therefore, roadway segmentswith available data about the surface layer of single or double carriageway roads were analyzed. Twomodels 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 requiredPolished Stone Value to improve the prediction. These models can help road agencies to identify theroads where lower skid resistance values are more probable to be obtained to focus their attentionand efforts.
PB Elsevier
SN 0950-0618
YR 2020
FD 2020-11
LK http://hdl.handle.net/10259/8936
UL http://hdl.handle.net/10259/8936
LA eng
NO This work was supported by the Diputación Foral de Bizkaia. Departamento de Obras Públicas y Transportes [Agreement on 25/06/2014]; Erasmus+ KA107 – 2017 project for mobilities from UPV/EHU (Spain) to universities in United States, Morocco, Russian Federation and Kazakhstan; and Erasmus+ KA107 – 2015 project for mobility from universities in the USA, Canada, South Korea and Russia to the UPV/EHU (Spain).
DS Repositorio Institucional de la Universidad de Burgos
RD 23-nov-2024