2013 Session: 780

• Evaluating Pavement Condition of National Highway System
  Abstract: The Federal highway Administration (FHWA) recently conducted a study to identify a means to evaluate health of the interstate highway system with a specific focus on pavements and bridges. One important component of any statement of health is the condition of the pavement, which is the focus of this paper. A set of six potential metrics were reviewed using data on an 874-mile long corridor of I-90 as a potential means for evaluating pavement condition in terms of good/fair/poor across the interstate network. Metrics reviewed included both functional and structural pavement condition. The study concludes that currently the International Roughness Index (IRI) provides the most consistent method for evaluating ride quality condition. Other metrics pursued using distress or structural condition are not currently suitable as nationwide condition measures and will require further work before these can be implemented for routine use.
  Authors: Simpson, Amy; Rada, Gonzalo R.; Visintine, Beth; Groeger, Jonathan
  Authors: Simpson, Amy; Rada, Gonzalo R.; Visintine, Beth; Groeger, Jonathan
  Year: 2013
  Document Type: Paper
  Subject: Design; Pavements
  Session: 780
  Paper Number: 13-2027
• Impacts of Continuous Data Collection on Accuracy of Pavement Management Decisions
  Abstract: The current economic climate is forcing reduction in the costs of data collection using sampling. For semi-automated distress data collection techniques, data sampling implies continuous pavement imaging and digitization of the images of sampled pavement segments. Although sampling precipitates immediate reduction in the cost of data collection, its true costs cannot be determined unless the impacts of data sampling on the accuracy and variability of the pavement condition data are analyzed.In this study, sponsored by the Federal Highway Administration (FHWA), continuously collected time series pavement distress data were requested and obtained from the Sates of Colorado, Louisiana, Michigan, and Washington. The transverse and longitudinal cracking data for 109 miles of pavement were used to simulate ten percent sampling and determine the effects of data sampling and sample size on the accuracy of the pavement condition data. For each one mile of pavement, the distress data along the sample were assumed to represent the condition along the entire mile.The paper shows that the accuracy of data sampling is a function of the sample size and the uniformity or variability of the distress data. Furthermore, as time elapses and pavement deteriorates with no applied treatments, variability between continuous and sampled data sets increases substantially. As expected, increasing the sample size reduces the differences between the sampled and continuous data. However, given that some states use ten percent sample size, it is likely that the potential misallocation of pavement treatment funds due to sampling may outweigh the savings incurred by sampling.
  Authors: Baladi, Gilbert Y.; Dean, Christopher M.
  Authors: Baladi, Gilbert Y.; Dean, Christopher M.
  Year: 2013
  Document Type: Paper
  Subject: Design; Pavements
  Session: 780
  Paper Number: 13-3617
• Impact of Error in Pavement Condition Data on Output of Network-Level Pavement Management Systems
  Abstract: The quality of pavement condition data is important not only in assessing the current condition of the network but also in the prediction of future condition and the planning of future maintenance and rehabilitation (M&R) activities. This paper provides a quantitative assessment of the impact of error magnitude and type (systematic and random) in pavement condition data on the accuracy of PMS outputs (i.e. forecasted needed budget and M&R activities in a multi-year planning period). The process developed to simulate the propagation of pavement condition errors to the output of PMS consists of five components: condition data generation, error perturbation, condition prediction, M&R prioritization, and output generation. This process was applied to the 2011 pavement condition dataset of the Bryan district, Texas. In 2011, this roadway network consisted of approximately 3,200 centerline miles. The study results show that both systematic and random errors can highly distort some PMS output parameters even in error ranges that may be considered acceptable in practice. For example, the case study shows that, with 95% confidence, a ±10 standard error in a 0-100 condition index can result in 2-5.8% error in estimated portions of the network needing maintenance, rehabilitation, or “do nothing.” Similarly, a constant additive systematic error of -2 in a 0-100 condition index can result in 2-3% error in estimated portions of the network needing maintenance, rehabilitation, or “do nothing.” These effects tend to persist throughout the planning period. These findings can help highway agencies to optimize pavement condition data collection processes by focusing on error levels and types that cause the greatest impact on PMS output.
  Authors: Saliminejad, Siamak; Gharaibeh, Nasir G.
  Authors: Saliminejad, Siamak; Gharaibeh, Nasir G.
  Year: 2013
  Document Type: Paper
  Subject: Design; Pavements
  Session: 780
  Paper Number: 13-4466
  Practice-Ready: Yes
• Evaluating Pavement Condition of National Highway System
  Authors: Simpson, Amy
  Authors: Simpson, Amy
  Year: 2013
  Document Type: Presentation
  Subject: Design; Pavements
  Session: 780
  Paper Number: 13-2027
• Impact of Error in Pavement Condition Data on Output of Network-Level Pavement Management Systems
  Authors: Gharaibeh, Nasir
  Authors: Gharaibeh, Nasir
  Year: 2013
  Document Type: Presentation
  Subject: Design; Pavements
  Session: 780
  Paper Number: 13-4466
• Impacts of Continuous Data Collection on Accuracy of Pavement Management Decisions
  Authors: Baladi, Gilbert
  Authors: Baladi, Gilbert
  Year: 2013
  Document Type: Presentation
  Subject: Design; Pavements
  Session: 780
  Paper Number: 13-3617
• Impacts of Continuous Data Collection on Accuracy of Pavement Management Decisions
  Authors: Dean, Christopher
  Authors: Dean, Christopher
  Year: 2013
  Document Type: Presentation
  Subject: Design; Pavements
  Session: 780
  Paper Number: 13-3617
• Impact of Error in Pavement Condition Data on Output of Network-Level Pavement Management Systems
  Authors: Saliminejad, Siamak
  Authors: Saliminejad, Siamak
  Year: 2013
  Document Type: Presentation
  Subject: Design; Pavements
  Session: 780
  Paper Number: 13-4466