An integer programming approach to support the US Air Force's air mobility network
Computers and Operations Research
Application of artificial fish school and K-means clustering algorithms for stochastic GHP
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Ground Delay Program Planning Under Uncertainty Based on the Ration-by-Distance Principle
Transportation Science
Equitable and Efficient Coordination in Traffic Flow Management
Transportation Science
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In this paper, we analyze a generalization of a classic network-flow model. The generalization involves the replacement of deterministic demand with stochastic demand. While this generalization destroys the original network structure, we show that the matrix underlying the stochastic model is dual network. Thus, the integer program associated with the stochastic model can be solved efficiently using network-flow or linear-programming techniques. We also develop an application of this model to the ground-holding problem in air-traffic management. The use of this model for the ground-holding problem improves upon prior models by allowing for easy integration into the newly developed ground-delay program procedures based on the Collaborative Decision-Making paradigm.