ABSTRACT
Pavement management systems employ deterioration and repair models. Deterioration models predict pavement conditions if no repairs occur between inspections, while repairs aim to achieve specific condition improvements, referred to as the “repair effect.” Traditionally, repair effects are pre-determined based on experience or experimentation. However, these deterministic repair effect assumptions are uncertain, as the selected repair methods may not achieve the desired outcomes due to factors such as pre-repair conditions or environmental influences. This research estimates the repair effects as latent variables representing the before and after repair conditions. Road agencies can use these estimates to quantify diverse repair effects realistically. The agencies can use the values instead of deterministically assuming them. The research included an empirical study to demonstrate the estimation of surface repair effects for the Addis Ababa City Road Network.
