In most of its past applications LuGre tire friction model has been empirically calibrated by tuning its parameters to fit measured tire-pavement friction data or an already calibrated friction model. However, physical significance of the model parameters is one important advantage of this widely used analytical tire friction model. It enables this model to provide physically intuitive guidelines for harmonizing different tire-pavement friction measuring devices by introducing modifications to their measurement mechanisms. In modeling dynamic tire forces using the LuGre model, the mechanical properties of the tire are represented by stiffness and damping parameters of the brushes/bristles that model the contact surface of the tire. In this study, specially designed laboratory tire tests were carried out to measure stiffness and damping properties of the ASTM E524 standard smooth tire used for testing pavement friction. The properties were measured in vertical, lateral and longitudinal directions and used to derive lumped LuGre tire parameters. Derived tire parameters were found to be closely comparable to those obtained using data fitting methods, hence validating both derivation and optimization-based approaches for LuGre model parameterization.