Panel Data Models for Pavement Friction of Major Preventive Maintenance Treatments
Publication: International Journal of Geomechanics
Volume 19, Issue 8
Abstract
Although accurate evaluation of pavement friction promises significant safety benefits to highway agencies, the development of such models has proven to be challenging due to the lack of complete and quality pavement surface data for friction studies. In this study, the state-of-the-art three-dimensional (3D) laser imaging technology and the Grip Tester, which is a type of continuous friction measurement equipment (CFME), are used to collect 1-mm 3D pavement surface data and friction data, respectively, at highway speed in the field; whereas the Aggregate Imaging System (AIMS) is used in the laboratory to analyze the surface characteristics of aggregates. Forty-five pavement sites, including six major preventive maintenance (PM) treatments and seven typical types of aggregates in Oklahoma, are identified as the testing beds. Multiple field data collection events have been performed from 2015 to 2017. Panel data analysis (PDA), which is able to investigate the differences of cross-sectional information (the time series changes over time), is conducted to identify the most significant influencing factors for pavement friction prediction model development. Statistical analyses indicate that the random-effects panel model outperforms the fixed-effects model and the traditional ordinary least-squares regression model. The panel model developed in this study could assist decision makers in the selection of PM treatments and aggregates for optimized skid resistance performance.
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Acknowledgments
This work is supported by the Oklahoma DOT (ODOT) under research project “Development of Aggregate Characteristics-Based Preventive Maintenance Treatments Using 3D Laser Imaging and Aggregate Imaging Technology for Optimized Skid Resistance of Pavements.” The opinions expressed in the paper are those of the authors, who are responsible for the accuracy of the facts and data in this paper, and their opinions do not necessarily reflect the official policies of the sponsoring agency. This paper does not constitute a standard, regulation, or specification.
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Published In
International Journal of Geomechanics
Volume 19 • Issue 8 • August 2019
Copyright
© 2019 American Society of Civil Engineers.
History
Received: May 28, 2018
Accepted: Jan 8, 2019
Published online: May 16, 2019
Published in print: Aug 1, 2019
Discussion open until: Oct 16, 2019
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