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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

A potential game car-following model for autonomous vehicles with reinforcement learning-guided genetic algorithm calibration

The car-following behaviour of autonomous vehicles (AVs) directly influences road capacity and infrastructure design. In this study, a potential game-based car-following model (PG-CFM) was developed, and its parameters were calibrated using a reinforcement learning-guided genetic algorithm. A potential game cost functi...

W. Hao, Lei Chen, Lin-Long Lei et al. · 0 citations

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