Evaluation of Crewed/Uncrewed Aerial Vehicle Collaborative Operation System Effectiveness Based on AMC-HFADC
Xinyao Wang, Yunfeng Cao, Meng Ding, Xichao Wang, Wangwang Yu · IEEE Aerospace and Electronic Systems Magazine · 2025
The collaborative operation system (COS) of manned/unmanned aerial vehicle (MAV/UAV) has garnered significant attention and stands as a pivotal paradigm for future warfare. Evaluation of its effectiveness is indispensable in its development. This paper aims to propose an Availability-Dependability-Capability (ADC) effectiveness evaluation method for MAV/UAV COS based on the Absorbing Markov Chain (AMC) and Human Factors (HF). In the development of MAV/UAV COS, HF are of paramount importance. This paper first establishes a HF model for the system, considering operator reliability and capability-related factors. Building on the traditional ADC model, which considers physical level elements, cognitive and psychological level elements have been added. Next, the paper establishes an ADC framework by mapping the collaborative operation situational change process to the Absorbing Markov Process, thus enhancing the applicability of the ADC model to COS and further enhancing the accuracy of effectiveness evaluation. Experimental results demonstrate consistency between the evaluation outcomes and the trends in operator reliability states. The effectiveness evaluation results of the AMC-HFADC method are more accurate. Compared to traditional ADC models, the method offers a more scientifically sound evaluation process, providing better boundary conditions for MAV/UAV COS in specific scenarios.