Abstract
AbstractThe research team recognized the value of network-level falling weight deflectometer (FWD) testing to evaluate the structural condition trends of flexible pavements. However, practical limitations due to the cost of testing, traffic control and safety concerns, and the ability to test a large network may discourage some agencies from conducting the network-level FWD testing. For this reason, the surrogate measure of the structural condition index (SCI) is suggested for use. The main purpose of the research presented in this paper is to investigate data-mining strategies and to develop a prediction method of the structural condition trends for network-level applications, which do not require FWD testing. The research team first evaluated the existing and historical pavement condition, distress, ride, traffic, and other data attributes in the Texas Department of Transportation (TxDOT) Pavement Maintenance Information System (PMIS); applied data-mining strategies to the data; discovered useful patter...
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