Assessment of pavement remaining service life assists decision making on pavement maintenance and rehabilitation (M&R) such that proper M&R actions can be selected and scheduled to optimize the use of resources over the life cycles of pavements. In this paper, a pavement remaining service life model was developed dealing with the limited causal data present in the pavement management system databases. The model achieves this by including the current pavement condition rating in the model specification and considering the boundary conditions of the pavement deterioration process. Empirical results of model estimation and verification are presented in the context of the Florida pavement condition data sets.