A consequence-aware driving risk field framework with data-driven calibration for high-risk scenario identification.
Driving risk is a dynamically evolving process arising from the coupled effects of traffic interactions, the road environment, and driving behavior. Existing traffic risk assessment methods largely rely on crash outcomes or localized surrogate safety measures, making it difficult to obtain a unified risk representation...