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The PASER scale is a 1-10 rating system for road pavement condition developed by the University of Wisconsin-Madison Transportation Information Center. PASER uses visual inspection to evaluate pavement surface conditions. When assessed correctly, PASER ratings provide a basis for comparing the quality of roadway segments. [1]
The pavement condition index (PCI) is a numerical index between 0 and 100, which is used to indicate the general condition of a pavement section.The PCI is widely used in transportation civil engineering [1] and asset management, and many municipalities use it to measure the performance of their road infrastructure and their levels of service. [2]
The suite of documents associated with a particular version of the CMMI includes a requirements specification called the Appraisal Requirements for CMMI (ARC), [2] which specifies three levels of formality for appraisals: Class A, B, and C. Formal (Class A) SCAMPIs are conducted by SEI-authorized Lead Appraisers who use the SCAMPI A Method Definition Document (MDD) [3] to conduct the appraisals.
The American Public Works Association publication, Special Report #62, describes the use and value of facility condition rating systems in Chapter 3.6. Within the US Federal Government, the "condition index" (CI) is a general measure of the constructed asset's condition at a specific point in time. [2]
IQL-1 systems can report varying intervals of roughness. IRI is reported at 10–20-meter or 528-foot (160-meter) intervals for project level collections. IQL-3 at 100m+ intervals. Early measurements were done with a rod-and-level survey technique. The Transportation Research Laboratory developed a beam which had a vertical displacement transducer.
The PSI was developed based on the AASHO Road Test's present serviceability rating (PSR). AASHO Road Test was a set of experiments carried out by the AASHTO from 1956 to 1961. [4] Unlike the PSR, which was a ride quality rating that required a panel of observers to ride in a car over the pavement of interest, the PSI does not require a panel of ...
Place this template at the bottom of appropriate articles in statistics: {{Statistics}} For most articles transcluding this template, the name of that section of the template most relevant to the article (usually where a link to the article itself is found) should be added as a parameter. This configures the template to be shown with all but ...
In statistics, ranking is the data transformation in which numerical or ordinal values are replaced by their rank when the data are sorted. For example, the ranks of the numerical data 3.4, 5.1, 2.6, 7.3 are 2, 3, 1, 4. As another example, the ordinal data hot, cold, warm would be replaced by 3, 1, 2.