From Operational Design Domain to Action: A Systematic Behavioral Taxonomy for Autonomous Driving

• URL: http://arxiv.org/abs/2608.08941v1
• Date: Sun, 09 Aug 2026 22:35:01 GMT
• Title: From Operational Design Domain to Action: A Systematic Behavioral Taxonomy for Autonomous Driving
• Abstract summary: Operational Design Domain (ODD) specifications describe where an automated driving system (ADS) is permitted to operate.<n>They do not prescribe what the ADS must demonstrably do once deployed within that domain.<n>This paper presents a structured, standards-grounded taxonomy of 21 behavioral competencies organized across three operational domains.
• Score: 0.1390311627586184
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Operational Design Domain (ODD) specifications describe where an automated driving system (ADS) is permitted to operate, but they do not prescribe what the ADS must demonstrably do once deployed within that domain. This gap between operating condition specification and behavioral validation represents a critical unresolved challenge in ADS safety assurance. This paper presents a structured, standards-grounded taxonomy of 21 behavioral competencies organized across three operational domains-Highway (HWY), Urban (URB), and Hub (HUB)-derived systematically from the PEGASUS six-layer model-based ODD. Each behavior is decomposed along longitudinal and lateral control axes and characterized against a four-property framework: Safety (gap maintenance, conflict avoidance, kinematic stability), Compliance (legal rules and behavioral norms), Comfort (rider dynamics and trust), and Efficiency (mission completion and product-level metrics). We further demonstrate that the crossing of ODD layer parameterizations with behavioral competency specifications yields concrete scenario families suitable for systematic behavioral testing and SOTIF coverage evidence. The taxonomy is grounded in AVSC00008202111, SAE J3237, and SAE J3016, and is validated as an operational specification layer through its deployment in a rule-enforced trajectory optimization system. The Hub domain is identified as a structurally distinct, underspecified domain warranting dedicated research attention.

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