  The validation and verification of automated driving functions (ADFs) is a
challenging task on the journey of making those functions available to the
public beyond the current research context. Simulation is a valuable building
block for scenario-based testing that can help to model traffic situations that
are relevant for ADFs. In addition to the surrounding traffic and environment
of the ADF under test, the logical description and automated generation of
concrete road networks have an important role. We aim to reduce efforts for
manual map generation and to improve the automated testing process during
development.
  Hence, this paper proposes a method to analyze real road networks and extract
relevant parameters for the variation of synthetic simulation maps that
correspond to real-world properties. Consequently, characteristics for
inner-city junctions are selected from Here HD map. Then, parameter
distributions are determined, analyzed and used to generate variations of road
networks in the OpenDRIVE standard. The presented methodology enables efficient
road network modeling which can be used for large scale simulations. The
developed road network generation tool is publicly available on GitHub.
