This paper describes the application of improved mathematical techniques to the PAVER and Micro PAVER pavement management systems. The use of stochastic dynamic programming to determine optimal strategies and related mean costs over specified life-cycle periods is outlined. The incorporation of simple simulation techniques to estimate the variance associated with these costs is described. The suitability of this approach for investigating the effects of deferred maintenance is presented. The use of outputs from these programs in subsequent prioritisation and budget allocation modules is briefly discussed. An example that incorporates outputs from the dynamic programming and simulation programs is shown, and the validity of these outputs is discussed.
Samenvatting