The ultimate aim of any pavement management system is to get an optimal return from the available resources. The culmination of a research effort to improve the prediction, optimization, and budget allocation abilities of the micro paver pavement management system is a prioritization scheme capable of taking in available budget estimates for any number of years and outputting the sections recommended for repair and the type and cost of repair to be applied. The schemeuses as its base the effectiveness/cost ratios obtained from a dynamic programming module. These ratios are then modified by weights that are related to section characteristics by each individual pavement manager. This enables a customized output to be obtained for each database. The available budget for repair is determined as the actual budget less the cost of routine and stopgap repairs on every section. This budget is then allocated to the highest-scoring (in terms of weighted effectiveness/cost ratio) sections until the budget is exhausted. Deterministic pavement condition index (pci) versus age curves are used to predict each section's condition in the following year, and the process is then repeated. A completed example is included to illustratethe working of the program logic. This paper appearsin transportation research record no. 1215, Pavement management andrehabilitation.
Samenvatting