Review of: "Advancing Autonomous Vehicle Safety: A Combined Fault Tree Analysis and Bayesian Network Approach"

Sheik, Al Tariq · 2025 · Crossref

DOI: 10.32388/q5vzqd

archive: archived pipeline: cataloged

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Abstract

Consider tightening the focus on the transition from static to dynamic risk assessment early in the abstract to emphasize the methodological innovation. .A synthesis table comparing existing FTA-only and hybrid FTA-BN applications across domains would strengthen this section. .Further elaboration on the toolchain used (e.g., Path nder, Python libraries) would increase reproducibility. .Consider including a sensitivity analysis to show how results change with different FIT allocations. .Explicit mention of how this model could be adapted for different AV system con gurations or realtime deployment would be bene cial. Overall:This is a well-structured and original study that makes a strong methodological and applied contribution to AV safety modeling.The integration of FTA with BN at the subsystem level is novel and practically useful, offering a pathway for dynamic and precise risk assessments aligned with safety standards. Areas of Improvement include:Slight enhancement in clarity and presentation (e.g., tool details, visualization aids).Potential extension to real-time or online risk analysis should be emphasized more in the conclusion.

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StageOutcomeToolModelPromptAttemptsCompleted
discover success Crossref 1 2026-06-20
archive success canonical_url 1 2026-06-26
extract success cached 2 2026-06-26
clean success clean 1 2026-06-20
chunk success chunk 1 2026-06-20
embed success embed Qwen/Qwen3-Embedding-8B 1 2026-06-20
enrich success openalex 1 2026-06-20
promote success 1 2026-06-20
summarize skipped llm qwen3.6-27b-prismaquant summ-v5 1 2026-06-26
tag success vector_similarity 6 2026-06-20

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