A Network Condition-Centric Flow Selection and Rerouting Strategy to Mitigate Air Traffic Congestion under Uncertainties
A Network Condition-Centric Flow Selection and Rerouting Strategy to Mitigate Air Traffic Congestion under Uncertainties
复制标题
以网络状况为中心的流量选择和重新路由策略，以缓解不确定性下的空中交通拥堵
DOI：
10.2514/6.2017-3427
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Y. Wan
中科院分区：
文献类型：
--
作者：
Junfei Xie;Y. Wan
改航是一种有效的空中交通流量管理策略，可以减少由对流天气或其他非正常情况引起的航路交通拥堵。本文提出了一种以网络条件为中心的流量选择和重路由方法，以提高在不确定和动态变化的空域环境中的重路由效率。该方法根据不同的网络条件调整要重路由的流，以最大限度地减少业务拥塞。为了应对高维需求和天气不确定性等挑战，我们采用了一种可扩展的基于采样的控制方法，使一个高效和鲁棒的最优重路由设计。一系列的分析和仿真研究激励和说明所提出的方法的良好性能。
Rerouting is an effective air traffic flow management strategy to reduce en-route traffic congestion caused by convective weather or other off-nominal situations. In this paper, we introduce a network condition-centric flow selection and rerouting method to improve the efficiency of rerouting in an uncertain and dynamically changing airspace environment. The method adjusts the flows to be rerouted according to different network conditions to maximally reduce traffic congestion. To address the challenges such as high-dimensional demands and weather uncertainties, we adopt a scalable sampling-based control method that enables an efficient and robust optimal rerouting design. A series of analysis and simulation studies motivate and illustrate good performance of the proposed method.