Abstract:
For road pavement maintenance and repairs prioritization, a multiattribute approach that compares fuzzy Analytical Hierarchy
Process (AHP) and fuzzy Technique for Order Preference by Ideal Situation (TOPSIS) is evaluated. The pavement distress data
was collected through empirical condition surveys and rating by pavement experts. In comparison to the crisp AHP, the fuzzy
AHP and fuzzy TOPSIS pairwise comparison techniques are considered to be more suitable for the subjective analysis of the
pavement conditions for automated maintenance prioritization. From the case study results, four pavement maintenance objectives
were determined as road safety, pavement surface preservation, road operational status and standards, and road aesthetics, with
corresponding depreciating significance weights of W = [0.37, 0.31, 0.22, 0.10] T . The top three maintenance functions were
identified as Thin Hot Mix Asphalt (HMA) overlays, resurfacing and slurry seals, which were a result of pavement cracking,
potholes, raveling, and patching, while the bottom three were cape seal, micro surfacing, and fog seal. The two methods gave
nearly the same prioritization ranking. In general, the fuzzy AHP approach tended to overestimate the maintenance prioritization
ranking as compared to the fuzzy TOPSIS.
