摘要: |
A pavement management system (PMS) requires reliable data to project maintenance needs and evaluate the success or failure of various maintenance options. Assessments of ride quality, based on either response-type roughness measurements or longitudinal profile measurements, are often used to characterize pavement conditions and predict future needs in a PMS. To successfully determine changes in pavement roughness, the measurement equipment must provide accurate repeatable results and be stable over time. Records of pavement profile taken at intervals form a basis on which changes in roughness can be deduced, whether by calculation of International Roughness Index (IRI) or some other roughness characteristic or statistic. For this reason, measurements of longitudinal profile are a key component of the long-term monitoring effort conducted by the Strategic Highway Research Program (SHRP) Long-Term Pavement Performance (LTPP) studies. For the SHRP/LTPP program the K.J. Law profilometer was selected because of its well-tested record and ability to provide rapid measurements of longitudinal profile on highway pavements. The backup device for the SHRP program is the Face Technologies "dipstick", which can also be used as a reference for the dynamic calibration check on the profilometer. A description is given of PROQUAL, a suite of computer programs developed by SHRP for field quality assurance and subsectioning of profile data, inputting, checking, and analyzing profile data before uploading to the Regional Information Management System and then finally the National Information Management System (RIMS/NIMS). The software also provides procedures for the dynamic calibraiton of the profilometer and processing longitudinal and transverse data collected with the dipstick. Statistical criteria are used in the field data collection process to determine adequacy of the data with respect to repeatability. Data that do not fit the requirements are discarded, and a minimum data set is declared accepted. IRI, root-mean-square vertical acceleration, Mays output, and slope variance values are calculated; profiles are stored. Examples of data from the SHRP program collected over 4 years are used to demonstrate with confidence the reliability of the data collected as part of the LTPP program. There is also a discussion of how the procedures and software developed for the SHRP program may be transferred to other agencies. |