Simulation-based Testing of Automated Driving Systems

Automated Driving Systems (ADS) require extensive safety testing before receiving a road permit. To gain public trust, ADSs must be as safe as a Human Driven Vehicle (HDV) or even safer. Simulation-based safety testing is a cost-effective way to check the safety of ADS. My goal is to compare the safety behavior of ADS with HDV via simulation and to develop a process of selecting testing scenarios that could be useful to build trust and reliability in simulations. Additionally, I aim to translate the performance advantages and disadvantages observed in simulated ADS behavior into real-world safety-critical traffic situations.