Reliable Statewide Pavement-Performance Study Using a Confidence Evaluation System

There is an urgent need to develop a system to quantify survey data quality and to study pavement performance characteristics with levels of confidence. To address this need, a system is proposed to quantify historical asphalt pavement condition survey data quality. The proposed confidence evaluation system uses the indicators based on asphalt pavement life-cycle characteristics. The resulting confidence levels of the indicators are used to determine the confidence level of the analyzed pavement's life curves and performance characteristics. Twenty-three years of asphalt pavement condition survey data were provided by the Georgia Department of Transportation (GDOT) to validate the proposed system. The pavement's life curves that have a high-confidence level can be obtained and used to analyze actual pavement performance; the average life of resurfacing effectiveness at a rating of 70 is approximately 9.4 years; this closely matches GDOT engineers' assumption of 10 years of life, which is used for routine life-cycle cost analysis. The average project resurfacing time span, however, is 11.4 years, which indicates a 2-year lag for pavement preservation. More than 67 percent of the resurfacing projects are being delayed by more than one-year, indicating a serious problem. The derived load cracking propagation data indicates that this data can be used to support the development of reliable pavement life forecasting models. DOI: 10.1061/(ASCE)TE.1943-5436.0000334. © 2012 American Society of Civil Engineers. CE Database subject headings: Pavement management; Flexible pavements; Data analysis; Performance characteristics. Author keywords: Pavement management; Flexible pavements; Data quality; Performance characteristics; Confidence evaluation.

[1]  Neeraj Buch,et al.  Statistical analysis of in-service pavement performance data for LTPP SPS-1 and SPS-2 experiments , 2007 .

[2]  Keith R. Molenaar,et al.  Asphalt Pavement Warranties--Technology and Practice in Europe , 2003 .

[3]  Bo Gao,et al.  A GIS-enabled Multi-Year Pavement Rehabilitation Needs Analysis System , 2004 .

[4]  Kumares C. Sinha,et al.  An Information Management Approach for Pavement Condition Data Integrity Quality Assurance , 2010 .

[5]  A. J. Lawrance,et al.  Data Analysis Procedures for Long-Term Pavement Performance Prediction , 1996 .

[6]  Yichang Tsai,et al.  Utilization of Information Technology to Enhance an Asphalt Pavement Condition Evaluation Program , 2001 .

[7]  Samer Madanat,et al.  INCREMENTAL NONLINEAR MODEL FOR PREDICTING PAVEMENT SERVICEABILITY , 2003 .

[8]  D A Morian,et al.  MAINTAINING FLEXIBLE PAVEMENTS - THE LONG TERM PAVEMENT PERFORMANCE EXPERIMENT SPS-3 5-YEAR DATA ANALYSIS , 1998 .

[9]  Seosamh B. Costello,et al.  Derivation of Transition Probability Matrices for Pavement Deterioration Modeling , 2006 .

[10]  M Y Shahin,et al.  EFFECT OF SAMPLE UNIT SIZE AND NUMBER OF SURVEYED DISTRESS TYPES ON PAVEMENT CONDITION INDEX FOR ASPHALT-SURFACED ROADS , 1995 .

[11]  António Pais Antunes,et al.  PROBABILISTIC SEGMENT-LINKED PAVEMENT MANAGEMENT OPTIMIZATION MODEL , 2002 .

[12]  Kumares C. Sinha,et al.  Methodology to Evaluate Quality of Pavement Surface Distress Data Collected by Automated Techniques , 2009 .

[13]  David R Luhr,et al.  Structured Approach to Managing Quality of Pavement Distress Data: Virginia Department of Transportation Experience , 2000 .

[14]  A R Shekharan,et al.  Prediction of Pavement Remaining Life , 1996 .

[15]  B Young,et al.  DEVELOPMENT OF PAVEMENT PERFORMANCE PREDICTION MODELS FOR GEORGIA PAVEMENTS. FINAL REPORT , 1993 .

[16]  Gonzalo R. Rada,et al.  Assessment of Long-Term Pavement Performance Program Manual Distress Data Variability: Bias and Precision , 1997 .

[17]  Dennis A Morian,et al.  Quality management of pavement performance data , 2002 .

[18]  Kelvin C. P. Wang,et al.  Probabilistic Behavior of Pavements , 1994 .

[19]  Suleiman Ashur,et al.  Integrated Pavement Management System with a Markovian Prediction Model , 2004 .