The article demonstrates selected issues related to assessment of uncertainty in vehicle motion reconstruction during an accident. Five methods are described in this study: two deterministic methods (the total differential method and the extreme values methods) and three probabilistic methods (the Gauss method, the method based on descriptions of stochastic processes, and the Monte-Carlo method). Most of them are well-known for their application in assessing uncertainty. The methods are compared on the basis of example applications in the case of stopping process of a vehicle in rectilinear
motion. Also for the aforementioned case, the results obtained by means of various computational methods of vehicle motion (analytical and simulation models) are compared with experimental data.