Browsing by Author "California State University, Chico. California Pavement Preservation Center"

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    Factors Affecting the Performance of Pavement Preservation Treatments
    Visintine, Beth A.; Hicks, R. Gary; Cheng, DingXin; Elkins, Gary E. (2015-06-04)
    Pavement preservation has become a very important tool box for agencies to maintain their roadway system. Federal Highway Administration (FHWA) funded the project titled "Factors Affecting the Performance of Pavement Preservation Treatments." The objective of this project was to determine how the uncertainty in the output of a model (such as the performance of a preservation treatment or the costs) can be apportioned to the different sources of uncertainty in the inputs (such as pavement condition, construction quality, quality of materials, traffic, and climate). The project evaluated the use of existing databases to determine the sensitivity of the factors on the performance of pavement preservation treatments. Unfortunately, these databases were determined not to be robust enough to answer the questions posed. An alternate approach was used by surveying experts in the field of pavement preservation treatments. This latter approach proved more successful. The impacts on the effect on performance were evaluated using sensitivity analysis and a life cycle cost (LCC) approach. The major factors that control the performance of many pavement preservation treatments that were considered in this study were: Pretreatment Pavement Condition, Materials Selection and Quality, Construction and Workmanship, Mix and Structural Design, Traffic Level, and Climate during and immediately after Construction. This paper focuses on the results of the sensitivity analysis and life cycle cost analysis which show that the variation from good conditions can have a dramatic effect on the life of the pavement preservation treatments as well as the associated costs to the agencies.
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    Improving Data Quality for Pavement Management System
    Tan, Sui G.; Cheng, DingXin (2015-05-20)
    The Metropolitan Transportation Commission (MTC) has developed a pavement management StreetSaver program with more than 400 users in the United States. MTC uses the program to evaluate street and road condition and perform maintenance needs assessments for the 109 cities and counties in the San Francisco Bay Area. Quality pavement condition survey data is a critical component of a pavement management system. MTC has augmented a new quality acceptance (QA) program as part of its Quality Data Management Plan in 2013. The QA program is geared toward making sure consultants hired by MTC for data collection can provide quality data in a consistent manner. The objectives of the QA program are to provide consistent pavement distress identification, improve data quality, avoid untrained pavement condition raters, while providing industry standards and accountability. The QA program contains a Rater Certification Program that ensures good quality data by using certified and trained technicians for the PMS; hiring a third party and neutral institution to audit the contractors' quality control plan; and verifying the data collected by consultants and checking data collected against pavement deterioration models and curves used in the PMS database. The process provides feedback to the consultants' quality control plans and significantly improved the quality of the PMS data collected. The MTC's data quality assurance experience is expected to benefit other agencies that are using any pavement management systems.