Researchers proposed and have used various approaches and functions for stochastic modeling of terrain. Usually, terrain topography profiles are modeled using the Monte Carlo method or other random processes. Such research methods are important for modeling dynamic normal reaction of tires and thus their influence on vehicle mobility, traction, ride and other operational properties. However, there is lack of methods on stochastic modeling of peak friction coefficient (also known as gripping coefficient) and rolling resistance coefficient. A new method for stochastic modeling of these two coefficients is considered in this section of the book. The method layouts a basis for agile/real-time terrain mobility, dynamics and mission fulfillment estimation of manned and unmanned ground vehicles.