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Review Open access Aug 2026

Scenario-first injury-risk phenotyping of autonomous vehicle crashes: distinguishing pre-crash interaction structures from ODD micro-contexts.

OBJECTIVES Existing autonomous vehicle (AV) crash-injury studies are predominantly variable-centered and often separate scenario classification from injury modeling. This study developed a scenario-first framework to determine whether injury probability conditional on an observed crash is organized primarily by broad p...

Feng Tang, Lei Chen, Ning Li et al. · 0 citations
Aug 2026

Addressing data limitations in autonomous vehicles crash severity analysis: A hybrid framework for small samples and sample imbalance.

OBJECTIVE This study aimed to address key data limitations in autonomous vehicle (AV) crash-severity analysis, including small samples and sample imbalance, and to identify interpretable risk factors associated with injury outcomes in AV crashes. METHODS A verified dataset of 2,946 AV crash events from 2015 to 2024 w...

Feng Tang, Ruien Wu, Ning Li et al. · 0 citations

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