The S-curve pavement formation is susceptible to waterlogging due to its distinctive linear geometric characteristics. Therefore, the mastery of the waterlogging pattern is beneficial for the prevention and management of the hazards associated with waterlogged road sections, particularly in the design and construction phases. Using computational fluid dynamics software Fluent and the Eulerian Wall Film (EWF) which is based on the Eulerian-Lagrange method in computational fluid dynamics analysis, this paper carried out simulation calculations on the the typical S-curve bidirectional multilane road model with refinement treatment. The simulation included different variables, such as geometric features and rainfall, and obtained the film thickness and flow velocity distribution of the ponded water. The simulation results indicate that during the rainfall stage, 0% to 1% of the cross slope of the S-curve represents a waterlogged road section, 1% to 2% of the cross slope represents a waterlogged road section, and the waterlogging situation of the road section with a cross slope exceeding 2% is influenced by the intensity of rainfall. During the drainage stage, a cross-slope of 0%~1% on the S-curve represents a challenging road section, while a cross-slope of 1%~2% indicates a poorly drained road section. A cross-slope of more than 2% indicates a road section that is smoothly drained. The drainage of the road section at the end of the drainage time can remove the water film to less than 2 cm under different geometric conditions and rainfall conditions. The dimensions and gradient of the cross slope influence the lateral distribution of water as well as the longitudinal distribution. As the drainage stage progresses, the water film thickness distribution law changes to a longitudinal high in the middle and low on both sides with the overall distribution of S pattern, while the water film flow rate distribution law becomes longitudinal low in the middle and high on both sides. The width of the roadway exerts a significant influence on the total amount of water that falls onto the roadway from rainfall. This, in turn, affects the water film thickness. The ultra-high retardation rate primarily increases the number of road sections that are waterlogged or prone to water damage, thereby influencing the range of water distribution.