Technical Paper
Comprehensive Evaluation of Behavioral Competence of an Automated Vehicle Using Driving Assessment (DA) Methodology
2024-04-09
2024-01-2642
With the development of automated vehicles (AVs), the need for systematic evaluation of AV performance has grown increasingly imperative. According to ISO 34502, one of the safety test objectives is to learn the minimum performance levels required for diverse scenarios. To address this need, this paper combines two essential methodologies - scenario-based testing procedures and scoring systems - to systematically evaluate the behavioral competence of AVs. In this study, we conduct comprehensive testing across diverse scenarios within a simulator environment following the Driver Licensing Test procedure. These scenarios span several common real-world driving situations, including cut-in, lane-departure, left-turn, and right-turn scenarios. Furthermore, the test cases are divided into different risk levels, allowing the AV to be tested in a variety of risk-level situations, with a focus on high-value test cases to increase testing efficiency.