Abstract :
[en] The increasing integration of automation in vehicles aims to enhance both
safety and comfort, but it also introduces new risks, including driver
disengagement, reduced situation awareness, and mode confusion. In this work,
we propose the DEV framework, a closed-loop framework for risk-aware adaptive
driving automation that captures the dynamic interplay between the driver, the
environment, and the vehicle. The framework promotes to continuously adjusting
the operational level of automation based on a risk management strategy. The
real-time risk assessment supports smoother transitions and effective
cooperation between the driver and the automation system. Furthermore, we
introduce a nomenclature of indexes corresponding to each core component,
namely driver involvement, environment complexity, and vehicle engagement, and
discuss how their interaction influences driving risk. The DEV framework offers
a comprehensive perspective to align multidisciplinary research efforts and
guide the development of dynamic, risk-aware driving automation systems.
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