Resilient UAV Traffic Congestion Control Using Fluid Queuing Models

In this paper, we address the issue of congestion in future Unmanned Aerial Vehicle (UAVs) traffic system uncertain weather. We treat UAVs as fluid queues, and introduce models for dynamics at three basic components: single link, tandem merge link. The impact weather uncertainty is captured fluctuation saturation rate queue discharge (capacity). assumed to follow a continuous-time Markov process. define resilience UAV long-run stability queues optimal throughput strategy under uncertainties. derive necessary sufficient conditions stabilities components. Both can be easily verified practice. calculated via conditions. Our results offer strong insight tool designing flows that resilient against uncertainty.