The skid resistance analysis is one part of the complex process which is involved in road safety analysis for a road project or for road maintenance. As early as the design phase, the road geometry choice is linked to the skid resistance for a given level of service. In the road maintenance case, different conventional measurements are performed on the road and by analyzing them together, risks can be enlightened. Currently, this analysis is done by comparing these data. This is time consuming and requires dedicated skills. The final objective of our work is to simplify this procedure by developing a software with models of vehicle, digitalized roads, tires, water height and other parameters. With this software, it will be possible to simulate different vehicles on a given road in order to evaluate if the skid resistance supplied by the road meets its demands of the traffic. The key of this development is to assess the prediction capacities of the models. In this paper, a first step in this evaluation process is presented. It consists in a comparison between the skid resistance predicted by simplified vehicle dynamic models, by a reference commercial model and the actual skid resistance measured on a real vehicle taking a curve at high speed. These experiments took place on our test track at Nantes with our fully instrumented car. This study is oriented towards road manager needs which are to know if these dynamic models can improve their analysis. The chosen models have to be versatile enough in order to take into consideration the road characteristics. The objective is not to predict a crash for a given car but to detect a possible source of crash for a class of vehicle due to improper road characteristics. First results show the interest of intermediate models for road manager needs, between the point and commercial model. Their advantages are mainly to be more realistic than the point model and to require less information than commercial software.