The objective of this research, carried out between 2012 and 2015, was to improve the treatment selection algorithm (TSA). The TSA is used to forecast the timing and treatment type of works required to maintain roads in good condition for the least whole-of-life cost in the short to medium term. The output was a candidate list of sites intended for validation in the field combined with recommended drainage improvements and funding estimates.
Since the TSA was developed, the long-term pavement performance monitoring sites have yielded much practical information; pavement and surface condition measurement techniques and parameters have developed; and economic analysis parameters have changed.
The algorithm, used to guide future surface and pavement works, needs to be updated to reflect current knowledge and recent experience. Recommended improvements include the consideration of thin asphaltic surfacings and maintenance cost data. The vehicle operating cost model and benefit-cost ratio funding mechanisms have been superseded and a new present value model is recommended. This incorporates new data sources now available such as falling weight deflectometer and high-speed data capture.
Keywords: asset management, forward work programme (FWP), surface distress, treatment selection, treatment selection algorithm