ABSTRACT
The Falling Weight Deflectometer (FWD) is a nondestructive testing device widely used to evaluate pavement structural conditions. However, its stop-and-go operation is costly and inefficient for network-level surveys, particularly in developing countries such as Cambodia. This study focuses on determining FWD testing intervals based on failure risk and prioritizing critical road sections rather than determining optimal spacing. The authors employ the mixed Markov hazard (MMH) model to capture the deterioration progression of surface roughness. A specific probability of reaching critical condition thresholds serves as a trigger to define ideal testing intervals. Additionally, a multi-criteria decision-making (MCDM) framework is applied to identify critical road sections, integrating surface deterioration (in terms of remaining service life) with other evaluation criteria. By enhancing the practicality and efficiency of FWD application, this study minimizes excessive testing across entire road networks, ensuring resources are allocated to areas requiring immediate attention and facilitating timely FWD data collection.
