A Network Condition-Centric Flow Selection and Rerouting Strategy to Mitigate Air<br /> Traffic Congestion under Uncertainties

Abstract

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.

Modeling and optimization of the terminal control area with holding unit

“…In this way, the congestion management module can be employed to describe the performance and throughput of the airspace. Today's methods usually include rerouting or reduction of flight [6,7].…”