This paper proposes AURA, an AIoT framework for continuous, real-world assessment of driving safety among older adults. It integrates rich in-vehicle sensing, multi-scale behavioral modeling, and context-aware analysis to provide explainable insights into driving performance, addressing the limitations of current infrequent and uncontextualized assessment methods.