Concept and Capability Approval Method of Behavioral Safety for Automated Driving Systems
Aiming at acceptance criteria for automated driving,this paper reviews the best practices in relevant regulations,standards,and evaluation methods,identifying five safety concepts and their interrelationships.The paper focuses on the concept and research status of behavioral safety,centered around"reasonably foreseeable and preventable"behaviors.By combining scenario data statistics with the driver's emergency response mechanism,a quantitative research framework is proposed for reasonably foreseeable and preventable situations.Finally,combining traffic accident data and practical experience,the paper provides a method for using behavioral safety in autonomous driving evaluation,along with a closed-loop certification and approval process based on this concept.The research in this paper serves as a reference for authorities,third parties,and R&D companies to establish relevant R&D,testing,and processes centered around behavioral safety.
reasonably foreseeablecareful and competent driver modeltype approval of automated driving systembehavior safety