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In this paper an approach for friction coefficient prognosis for the Groschwheel is presented. Since the solid rubber wheel (80 mm diameter) represents a simpli fied tyre model this contribution helps to investigate the rolling friction process and especially the feasibility and limitations of the automotive friction prognosis. The grip information is derived from influence parameters like road state, velocity, temperature etc. The methodical innovation of the approach proposed consists in the use of an artificial neural network as data based model that performs multi dimensional interpolation in the learning stage. The operating stage consists of common mathematical operations with low computational effort. [ABSTRACT FROM AUTHOR]