Abstract

As Automated Driving Systems (ADS) become more widely used, there is rising worry regarding their safety and security. Traditional verification techniques, such as evaluating the vehicle's performance over a certain number of miles or kilometres, are insufficient to assess ADS risk. Instead, alternate approaches, such as scenario-based testing, which involves assessing the vehicle's performance in simulated situations that match real-world settings, are required to determine the system's safety and performance. This article presents a literature review on the importance of critical scenario analysis in ensuring the safety and reliability of ADS. Critical scenario analysis is a complete approach for identifying, quantifying, prioritising, selecting, and validating the most critical situations for ADS development and testing. ADS can reduce the frequency of accidents and fatalities caused by human error. Through this literature review, readers will understand the importance and benefits of critical scenario analysis methods and approaches, allowing them to systematically evaluate risks and opportunities and better comprehend the potential outcomes of future scenarios.