Autonomous driving paper index
Eliciting operational requirements for transparent adaptive automation strategies in air traffic control
One-line summary
Abstract Adaptive automation is increasingly explored in air traffic control as a means to manage variability in operational demand while preserving controller engagement, situation awareness, and authority.
Engineering notes
Key topics: autonomous driving, control. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Abstract Adaptive automation is increasingly explored in air traffic control as a means to manage variability in operational demand while preserving controller engagement, situation awareness, and authority. This paper reports the COntroller adaptive Digital Assistant (CODA) contribution on making adaptive task delegation governable in supervisory work. We specify an adaptive automation strategy for non-critical air traffic control support tasks that combines explicit mode logic, authority contracts, and interface mechanisms that render delegation inspectable at the point of action. Adaptation is formalised as a closed-loop policy driven by three trigger classes—traffic demand, task/load demand, and an operator-readiness dimension—computed over both current and short-horizon predicted states to anticipate demand peaks and to support timely, bounded transitions. The strategy operationalises three graduated proactivity modes with explicit authority management: Manual (monitor-and-inform), Proactive-Light (recommend-and-confirm), and Proactive-Strong (initiate-and-notify with veto), designed to support appropriate reliance and maintain continuous legibility of task ownership. We detail delegation rules that constrain automation to supportive functions, and we present a human–machine interface that externalises automation state, proposed actions, and ownership while incorporating concise, actionable rationale cues intended to support controllability with minimal overhead. Finally, structured workshops with expert controllers are synthesised to derive operational acceptability constraints on delegation boundaries, transition timing, preview horizons, and explanation selectivity, grounding the design in the realities of air traffic control work.
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