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Automated driving functions (ADFs) have become increasingly popular in recentyears. However, their safety must be assured. Thus, the verification andvalidation of these functions is still an important open issue in research anddevelopment. To achieve this efficiently, scenario-based testing has beenestablished as a valuable methodology among researchers, industry, as well asauthorities. Simulations are a powerful way to test those scenariosreproducibly. In this paper, we propose a method to automatically test a set ofscenarios in many variations. In contrast to related approaches, thosevariations are not applied to traffic participants around the ADF, but to theroad network to show that parameters regarding the road topology also influencethe performance of such an ADF. We present a continuous tool chain to set upscenarios, variate them, run simulations and finally, evaluate the performancewith a set of key performance indicators (KPIs).

Simulative Performance Analysis of an AD Function with Road Network Variation