Effective decision making for pavement maintenance and rehabilitation (M&R) requires accurate and reliable assessment of pavement remaining life sothat the timing and locations of M&R actions can be scheduled in a way that optimizes the use of allocated M&R budget and resources. In this paper,an improved duration model was formulated to deal with the limited causaldata in a typical pavement management system (PMS). The specialty of the model formulation is its use of the current pavement condition rating as asurrogate variable to account for pavement structural data currently absent in PMS databases. The major advantage of the proposed model formulation lies in its application at the network level where budget and resources prevent costly pavement structural data from being collected as part of a PMS. Empirical results of model estimation and evaluation are presented in the context of the Florida Department of Transportation pavement management system data set.
Abstract