Modeling and simulation of multi-UAV, multi-operator surveillance systems
Modeling and simulation of multi-UAV, multi-operator surveillance systems
复制标题
多无人机、多操作员监视系统的建模和仿真
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Eric Spero
中科院分区：
文献类型：
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作者：
James D. Humann;Eric Spero
随着无人驾驶车辆的自主性越来越高，有可能在分布式团队中使用较少的人类操作员部署大量无人驾驶车辆。人类与自动化交互的效果通常是不直观的，并且可能使此类系统的设计复杂化。为了给系统工程师提供可靠的系统性能的早期预测，本文建立了一个多无人机、多操作员监视系统的模型和仿真。无人机被建模为代理，人类被建模为事件队列。人的表现模型动态调整疲劳，工作量和任务难度。组合模型建立了一个平台，系统能力预测的功能，人类团队的规模，无人机团队的规模，不同类型的无人机，硬件质量和自主水平的组合。
With increasing autonomy in unmanned vehicles, there is potential to field large numbers of them in distributed teams with a smaller number of human operators. The effects of human interaction with automation are often unintuitive and may complicate the design of such systems. In order to provide systems engineers with reliable early predictions of system-of-systems performance, a model and simulation of a multi-UAV, multi-operator surveillance system is developed in this paper. UAVs are modeled as agents, and humans are modeled as event queues. The model of human performance dynamically adjusts for fatigue, workload, and task difficulty. The combined models establish a platform for system capability prediction as a function of human team size, UAV team size, mix of diverse UAV types, hardware quality, and level of autonomy.