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- W581723995 abstract "In general, pavement treatment actions transform pavement segments from one condition state to another. The transformation could be summarized using treatment transition matrices (T2Ms) that indicate the probability that a pavement segment transfers from one condition state to another. This probability is a function of the before treatment pavement condition state and the treatment type. Some State Highway Agencies (SHAs) collect and store pavement condition data along 0.1 mile pavement survey or segment lengths while others use different survey lengths. The data variability makes it difficult to model the pavement conditions of each segment over time and to assess its transition from one condition state to another. It has been suggested that increasing the pavement length over which the conditions are analyzed may decrease the data variability and improve the modeling of pavement conditions over time. Nearly 445 miles of flexible pavements that were subjected to asphalt concrete (AC) overlay and 349 miles of the same subjected to mill and fill were analyzed to determine the effects of the pavement analysis length on the T2Ms. In the analysis, the data of each 0.1 mile pavement segment were used to generate analysis lengths of 0.1, 0.4, 0.7, and 1.0 miles. Results of the analysis are presented and discussed in this paper. It is shown that, for IRI and rut depth data, the T2Ms are independent of the pavement analysis length. However, T2Ms based on cracking data are a function of the pavement analysis length." @default.
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- W581723995 date "2012-01-01" @default.
- W581723995 modified "2023-09-28" @default.
- W581723995 title "Impacts of Pavement Condition Analysis Length on Treatment Transition Matrices and Treatment Benefits" @default.
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