Article ID: | iaor20119434 |
Volume: | 19 |
Issue: | 6 |
Start Page Number: | 1326 |
End Page Number: | 1338 |
Publication Date: | Dec 2011 |
Journal: | Transportation Research Part C |
Authors: | Ng ManWo, Travis Waller S, Zhang Zhanmin |
Keywords: | transportation: road, programming: integer |
Currently there is a true dichotomy in the pavement maintenance and rehabilitation (M&R) literature. On the one hand, there are integer programming‐based models that assume that parameters are deterministically known. On the other extreme, there are stochastic models, with the most popular class being based on the theory of Markov decision processes that are able to account for various sources of uncertainties observed in the real‐world. In this paper, we present an integer programming‐based alternative to account for these uncertainties. A critical feature of the proposed models is that they provide –