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Heavy commercial road vehicles are less stable in terms of rollover because of their elevated center of gravity (CG). Rollover is a type of accident in which the vehicle rotates excessively about its longitudinal axis. An untripped rollover happens when the centrifugal force acting at the CG is stronger than the cornering force acting at the tires and the vehicle rolls outwards of the turn. The accurate detection of the onset of untripped rollover is a critical step towards its prevention. This study presents a model based rollover index using the lateral Load Transfer Ratio (LTR) for detection of untripped rollover of heavy commercial road vehicles. The corroboration of any rollover detection and prevention strategy with a full-sized vehicle would be costly and potentially dangerous.

Vehicle dynamic simulations demand tire models, which are computationally efficient and capable of reliably predicting the dynamics of the tire. Such simple steady state and transient reduced order models are also required by tire designers to make preliminary predictions concerning behavior and judge quantitatively the relative importance of each of the subcomponents. In the realm of three dimensional multi-body dynamics, most models used are semi-empirical, where the tire is characterized by a set of equations. While the highest hierarchy in the modeling regime is a full three dimensional finite element model, the ensuing deformable multi-body dynamics is not economical for simulation. In this paper we offer an exact methodology to extract tire physical properties in order to develop a reduced order model equivalent to a complete Finite Element tire.