Simulation optimization of airline delay with constraints

Air traffic delay is a growing and expensive problem. We investigated ways to reduce the cost and magnitude of such delays by trading gate delays against more expensive air delays. Air management and planning at this level can be facilitated by simulation, especially for strategies that alter contro...

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Bibliographic Details
Published in:Winter Simulation Conference 2002 Vol. 2; pp. 1017 - 1022 vol.2
Main Authors: Hutchison, D.W., Hill, S.D.
Format: Conference Proceeding
Language:English
Published: IEEE 2001
Subjects:
Air traffic control
Constraint optimization
Control system synthesis
Control systems
Costs
Delay
Stochastic systems
Strategic planning
System performance
Traffic control
ISBN:0780373073, 9780780373075
Online Access:Get full text
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Summary:Air traffic delay is a growing and expensive problem. We investigated ways to reduce the cost and magnitude of such delays by trading gate delays against more expensive air delays. Air management and planning at this level can be facilitated by simulation, especially for strategies that alter controls on the system. We used the SIMMOD air traffic simulation to model the system. The objective was to determine a set of control measures that achieve the best system performance subject to restrictions on the decision parameters and selected system output measurements. Because observed system performance is "noisy," the problem is a constrained stochastic optimization problem with nonlinear objective function and nonlinear, stochastic constraints, which requires efficient stochastic optimization methods for its solution. Our approach used the simultaneous perturbation stochastic approximation (SPSA) algorithm with a penalty function to handle the difficult constraints.
ISBN:0780373073
9780780373075
DOI:10.1109/WSC.2001.977408