Residual Risk Management Strategies at System Level presented for ACC/LKA Behavioural Competencies
Selin Solmaz, Georg Stettinger, Franz Wottawa
Abstract: Automated Vehicles (AVs) are designed to enhance road safety by utilizing Automated Driving Systems (ADS) that leverage behavioral competencies within the targeted Operational Design Domain (ODD). However, operation within the current ODD always carries a residual risk that must be kept within acceptable limits to ensure safe and robust operation. This paper proposes a system-level residual risk management strategy for ACC/LKA behavioral competencies, which comprises a receive- monitor-transmit concept for hierarchical monitoring functional- ities, a system-level residual risk management strategy, and fault injection campaigns to challenge the implemented multi-layer monitoring functionalities. The proposed strategy is implemented ACC/LKA-driven benchmark example, which demonstrates the efficient and effective handling of residual risks at the system level. The study concludes that targeted ODD and/or related behavioral competence reductions are a promising approach to maintaining the residual risk within acceptable limits. Index Terms—residual risk, operational design domain, be- haviour competence, monitoring, health status, fault-injection
Residual Risk Management Strategies at System Level presented for ACC/LKA Behavioural Competencies
