Les exposés écrits du congrès ont été publiés dans la langue dans laquelle ils ont été soumis à l’ATC.
As a proven, cross-cutting safety countermeasure for reducing the frequency and severity of vehicle crashes, Pavement Friction Management (PFM) provides road agencies with a powerful tool for balancing the existing roadway friction with that required by vehicles to navigate the road network.
Between 2020 and 2024, several US states embarked on ambitious efforts to collect network-level continuous pavement friction and texture data with the ultimate goal of reducing injuries and fatalities. While singular data collection efforts offer a baseline of existing pavement friction at high resolution, collecting replicate data on all pavement sections allows for increasingly sophisticated characterizations of network performance.
With a focus upon pavement management and material performance in service, this paper will present the preliminary insights uncovered through analysis of thousands of miles (kilometres) of continuous pavement friction data, including the influence of material selection and composition, roadway geometry, and traffic loading on pavement friction performance. Many insights reinforce conventional wisdom although some challenge conventional thinking with respect to mixture composition and ultimately agency specifications. Challenges associated with data management at the network-scale, project-level data input quality, and data aggregation and clustering will also be discussed.