Digital street maps are currently used in a wide field of location-aware applications. However, common road network graphs are generalized concerning road geometries and network topology. Especially in the context of (highly-) automated driving, more precise maps are in demand, as exact a priori information on the course and condition of a road is required. In the research project “LaneS”, a method was developed to derive lane specific road network graphs from GNSS-trajectories. In order to evaluate the application and requirements of such highly precise road network graphs, expert interviews were conducted. It was shown that in particular traffic management, research, infrastructure operators and service providers operating in the context of (highly-) automated driving have high demand of precise but affordable road network graphs.