This paper presents the modeling and validation of a four-groove passenger car radial tire (235/55R19) using finite element analysis (FEA). The tire model was validated in both static and dynamic domains through simulations and compared to published measured data. The Mooney–Rivlin material model was used to define the hyperelastic behavior of the tire rubber compounds for all solid elements. The tire rim was modeled as a rigid body using aluminum alloy, and the beads were modeled as beam elements using steel. The tire model was validated using footprint and vertical stiffness tests in the static domain. In the static footprint test, a steady-state vertical load was applied, and the tire–road contact area was computed. In the vertical stiffness test, a ramp vertical load was applied, and the tire’s vertical displacement was measured to calculate the tire’s vertical stiffness. In the dynamic domain, the tire was validated using drum-cleat and cornering tests. In the drum-cleat test, a drum with a 2.5 m diameter and a cleat with a 15 mm radius was used to excite the tire structure and obtain the frequency of the vertical and longitudinal first modes of vibration. In addition, the tire model was pre-steered on a flat surface with a two-degree slip angle and subjected to a steady state linear speed of 10 km/h to predict the cornering force and compute the cornering stiffness. The effect of tire longitudinal speed on the rolling resistance coefficient was also predicted at zero slip angle using the ISO 28580 rolling resistance test. The findings of this research provide insights into passenger car tire–road interaction analysis and will be further used to perform tire rubber compound material model sensitivity analysis. The tire model was validated using various simulations and compared to experimental data, showing good agreement. The results indicate that the tire model accurately predicts the static and dynamic behavior of the tire under different operating conditions. The study also highlights the importance of considering the effects of load, inflation pressure, and speed on tire performance. The results demonstrate that the tire model is a reliable tool for analyzing tire behavior and can be used for further research and development in the automotive industry.This paper presents the modeling and validation of a four-groove passenger car radial tire (235/55R19) using finite element analysis (FEA). The tire model was validated in both static and dynamic domains through simulations and compared to published measured data. The Mooney–Rivlin material model was used to define the hyperelastic behavior of the tire rubber compounds for all solid elements. The tire rim was modeled as a rigid body using aluminum alloy, and the beads were modeled as beam elements using steel. The tire model was validated using footprint and vertical stiffness tests in the static domain. In the static footprint test, a steady-state vertical load was applied, and the tire–road contact area was computed. In the vertical stiffness test, a ramp vertical load was applied, and the tire’s vertical displacement was measured to calculate the tire’s vertical stiffness. In the dynamic domain, the tire was validated using drum-cleat and cornering tests. In the drum-cleat test, a drum with a 2.5 m diameter and a cleat with a 15 mm radius was used to excite the tire structure and obtain the frequency of the vertical and longitudinal first modes of vibration. In addition, the tire model was pre-steered on a flat surface with a two-degree slip angle and subjected to a steady state linear speed of 10 km/h to predict the cornering force and compute the cornering stiffness. The effect of tire longitudinal speed on the rolling resistance coefficient was also predicted at zero slip angle using the ISO 28580 rolling resistance test. The findings of this research provide insights into passenger car tire–road interaction analysis and will be further used to perform tire rubber compound material model sensitivity analysis. The tire model was validated using various simulations and compared to experimental data, showing good agreement. The results indicate that the tire model accurately predicts the static and dynamic behavior of the tire under different operating conditions. The study also highlights the importance of considering the effects of load, inflation pressure, and speed on tire performance. The results demonstrate that the tire model is a reliable tool for analyzing tire behavior and can be used for further research and development in the automotive industry.