The deviation of vehicles from the roadway is one of the most frequent accident causes on Austrian motor- and expressways with a particularly high proportion of killed and seriously injured people. To prevent such events or at least to reduce their consequences, Vehicle Restraint Systems (VRS) are used. In Austria, there is a large number of approved systems, that, depending on the particular design, show varying security features. What is missing, however, is a documentation and localization of the VRS, that are already in use. This non-existent data base poses a major problem regarding the investigation and evaluation of various traffic safety aspects on Austrias major road network. The present master thesis addresses this very issue and therefore aims to develop a classification method for the identification of Vehicle Restraint Systems by means of video analysis. Theoretical guidelines for the classification of VRS are developed, based on the research of various norms, regulations and information concerning those systems, that are approved for usage in Austria. At the same time, appropriate video footage of selected test tracks is recorded in cooperation with the Austrian Institute of Technology, using special camera equipment. Those classification guidelines are implemented in an evaluation software, that is operating semi-automatic and can thus be used to analyse the recorded test videos. The data obtained in this practically conducted review process are then used for an exemplary analysis of selected road sections concerning the in terms of traffic safety relevant aspect of VRS setup length. The result of this master thesis therefore is a classification guide for VRS using a specially developed video analysis software as well as the exemplary usage of that exact tool on selected sections of the Austrian high- and expressway network.