HARA has become a critical framework in evaluating AV safety by systematically identifying potential hazards and quantifying associated risks. This talk explores how advanced simulation techniques enhance the HARA process, allowing engineers to rigorously test and evaluate autonomous driving systems in a controlled virtual environment. By leveraging simulation, stakeholders can not only assess edge-case scenarios that may be impractical to test on real roads but also gain insights into mitigating risks that could impact vehicle performance and passenger safety. Delve into the methodologies and tools used in simulation-based HARA for AVs, discovering key case studies and best practices. Attendees will learn how to integrate simulation with HARA to strengthen the safety standards of autonomous vehicle technology.

In this session, you will learn more about:

• How simulation enables robust hazard identification and risk quantification within the HARA framework for AVs
• Best practices in creating realistic scenarios and edge-case simulations for comprehensive safety assessment
• How to improve the efficiency and effectiveness of AV safety validation by integrating simulation into the HARA process