Prediction of pavement water film depth and estimation of critical rainfall conditions for refined road safety management: A simulation study.

ABSTRACT: The development of a smart expressway ensuring all-weather safe access represents the future trajectory of transportation infrastructure. A key task in this advancement is the precise prediction of water film depth (WFD) on road surfaces. Conventional WFD prediction models often assume constant grade and cross slope, an oversimplification that may affect predictive accuracy. In this study, typical highway alignments were meticulously modeled in three dimensions (3D) using Building Information Modeling (BIM) technology, and WFD simulations were conducted using a coupled discrete phase model and Eulerian wall film model (DE-WFD model). Simulation results revealed that the DE-WFD model consistently predicts higher WFD compared to the RRL and PAVDRN models. In contrast, its predictions are app

SUBMITTER: Xu J 

PROVIDER: S-EPMC11825053 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature