The Effect of Pavement Condition Data Sampling on Project Boundary Selection
Publication: Transportation and Development Institute Congress 2011: Integrated Transportation and Development for a Better Tomorrow
Abstract
Pavement condition data are either continuously collected or sampled. In sampling it is assumed that the time and costs of data collection can be reduced and the pavement condition of shorter segments represent the conditions of larger sections. In a study sponsored by the Federal Highway Administration, pavement distress data along several miles of roads were obtained from four State Highway Agencies. Each department collects and stores distress data on a continuous basis for each 0.1 mile section along the network. The continuous data were sampled and the impacts on the accuracy of pavement decisions were analyzed. Results of the analyses are discussed herein. It is shown that, for variable pavement conditions, ten percent sampling leads to inaccurate decisions. Pavement sections in need of repair are ignored whereas healthy sections are selected for repair. The costs incurred due to inaccurate decisions could be much higher than the saving incurred by sampling.
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Copyright
© 2011 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
ASCE Technical Topics:
- Benefit cost ratios
- Business management
- Construction engineering
- Construction management
- Construction methods
- Data collection
- Domain boundary
- Engineering fundamentals
- Financial management
- Gravels
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Mathematics
- Methodology (by type)
- Pavement condition
- Pavements
- Practice and Profession
- Project management
- Rehabilitation
- Research methods (by type)
- Transportation engineering
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