  The problem of allocating accident responsibility for autonomous driving is a
difficult issue in the field of autonomous driving. Due to the complexity of
autonomous driving technology, most of the research on the responsibility of
autonomous driving accidents has remained at the theoretical level. When
encountering actual autonomous driving accidents, a proven and fair solution is
needed. To address this problem, this study proposes a multi-subject
responsibility allocation optimization method based on the RCModel (Risk Chain
Model), which analyzes the responsibility of each actor from a technical
perspective and promotes a more reasonable and fair allocation of
responsibility.
