Coordinated
aviation network resource allocation under uncertainty.
Transportation Research Part
E: Logistic and Transportation Review, vol. 48, no.1, pp.19-33.
Congestion in the air traffic system, both recurrent and non-recurrent,
is typically handled by rationing access rights to individual resources such as
airports or important parts of the airspace. Under the planning paradigm
employed in the US, this rationing process occurs independently at each
resource. The stochastic integer programming model proposed in this paper
brings coordination to this process while considering capacity uncertainty. Results
of a case study suggest that the model is tractable, and generates capacity
allocations that improve efficiency and enable greater responsiveness to changing capacity conditions.