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Effectiveness-Based Pavement Preservation Selection Based on Statistical Analysis of Long Term Pavement Performance Data

Project Description:

Pavement preservation can retard development of pavement distresses and improve pavement function performance. Quantification of the effectiveness of preservation has important implications for the selection of pavement maintenance strategies and decision making in pavement management system. Most of previous studies mainly focused on the effectiveness of preservation on pavement serviceability index (PCI) and roughness; few studies considered the effectiveness of preservation on individual pavement distress and safety performance. The objective of this study is to investigate the effectiveness of pavement preservation on mitigating different asphalt pavement distresses and restoring pavement surface friction using the extracted data from the Long Term Pavement Performance (LTPP) program and advanced statistical analysis methods. The asphalt pavement distress considered in the analysis includes fatigue cracking, longitudinal cracking, transverse cracking, and rutting. It is expected that the analysis results can aid state and municipal agencies better select the appropriate maintenance treatments to maximize the cost-effectiveness of pavement preservation and increase the longevity of transportation infrastructure. The proposed research is closely related to the USDOT research goal and UTRC research focus area on State of Good Repair.

Related Publication:

Wang, H. and Wang, Z. (2013) Performance Evaluation of Pavement Preservation Using Long-Term Pavement Performance Data. Airfield and Highway Pavement 2013: pp. 855-864.

http://dx.doi.org/10.1061/9780784413005.070

Project Details

Project Type: 
UTRC Faculty Development Mini-grants
Project Dates: 
January 1, 2013 to June 30, 2014
Principal Investigators: 
Dr. Hao Wang
Institution: 
Rutgers University
Sponsor(s): 
Research and Innovative Technology Administration / USDOT (RITA)
Publications: 
Final Report
Project Status: 
Complete
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