Functional Safety Assessment of a Generic Automated Lane Centering System and Related Foundational Vehicle Systems
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Summary
This report presents a functional safety assessment of a generic Automated Lane Centering (ALC) system and three foundational vehicle systems: electric power steering (EPS), steer-by-wire (SbW), and conventional hydraulic braking (CHB). Conducted by the Volpe National Transportation Systems Center for the National Highway Traffic Safety Administration (NHTSA), the research addresses the critical need to ensure the reliability of automated driving technologies, which depend heavily on the integrity of underlying mechanical and electronic systems. The study was motivated by the introduction of advanced driver assistance systems into the vehicle fleet and the necessity of applying the ISO 26262 functional safety standard to both new automated systems and legacy foundational systems that predate such standards. The methodology followed the Concept Phase of the ISO 26262 standard, independent of specific implementation details. The researchers employed a multi-method analytical approach, including Hazard and Operability (HAZOP) studies, functional Failure Mode Effects Analysis (FMEA), and System-Theoretic Process Analysis (STPA). These methods were used to identify vehicle-level hazards, assess risks, and derive functional safety requirements. The risk assessment utilized the Automotive Safety Integrity Level (ASIL) framework, evaluating hazards based on severity, exposure, and controllability. The study analyzed systems across SAE automation levels 0 through 5, incorporating human factors considerations, particularly regarding driver engagement and foreseeable misuse in Level 2 systems where drivers are expected to monitor the environment but may become disengaged. Key findings include the identification of specific vehicle-level hazards and the assignment of ASIL ratings, which varied depending on the malfunction type and the level of automation. The analysis highlighted significant challenges in applying the ASIL process, particularly regarding the "controllability" dimension. For higher automation levels (Level 4 and 5), where drivers may not have immediate control interfaces, the study assumed the lowest controllability rating. For Level 2 systems, the assessment accounted for scenarios where drivers are not engaged and cannot immediately resume control, treating this as a foreseeable misuse case. The report also defined architectural options, distinguishing between fail-safe/fail-passive and fail-operational strategies. It concluded that if an automated system requires fail-operational capabilities, this requirement must flow down to the foundational systems, as a single fault causing a reversion to manual control could compromise safety in highly automated contexts. The significance of this work lies in its provision of a baseline functional safety concept for ALC and related systems, demonstrating how ISO 26262 can be implemented across varying automation levels. The findings offer data to inform future NHTSA policy and regulatory decisions regarding automotive electronics reliability. By synthesizing results from individual system analyses, the report illustrates the complex interdependencies between automated control layers and foundational actuators, emphasizing that safety architectures must be designed holistically to mitigate risks associated with electronic failures and human operator limitations.
Key finding
The study determined that vehicle concepts for higher automation levels may lack driver control means, necessitating conservative safety assessments, while Level 2 systems require accounting for driver disengagement as a foreseeable misuse case.
Methodology
theoretical
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- automation surprise
- mode awareness
- automation
- driverless ads
- situational awareness
- automation complacency bias
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Theoretical Contribution: conceptual framework, computational model