Modelling Autonomous Vehicle Safety in Road Scenarios Considering User Behaviour

The purpose of this study is to analyze the rapidly changing environment of autonomous vehicles (AVs), with a particular emphasis on their implications for the safety of pedestrians and passengers. AVs, also known as self-driving automobiles, are emerging as potential game-changers in the existing transportation landscape. They promise greater safety and increased efficiency in traffic. Ethical challenges may arise in situations where autonomous vehicles (AVs) must make complex decisions to prioritize either the safety of passengers or the safety of pedestrians. This study utilized root cause analysis techniques such as the Five Whys and Fishbone/Ishikawa Diagram Analysis to identify potential safety problems. Through an in-depth examination, the research navigates the complex landscape of autonomous mobility, focusing on the factors that determine the extent to which autonomous vehicles (AVs) are safe when interacting with passengers and pedestrians. The study is expected to contribute to the body of knowledge aimed at improving discussions about the safety of AVs.