A Runway Planning optimization model has been developed as a part of a comprehensive suite of models for the optimization of airport surface traffic in the presence of uncertainty. The runway planning problem is formulated as a two-stage stochastic program where the first stage determines an aircraft weight class sequence and the second stage assigns individual aircraft to the sequence. Stochastic attributes include pushback delay, time spent on taxiway, and deviation from estimated arrival time. The computational study shows that, if the schedule is dense enough, there is a potential benefit of using the stochastic runway planner over first-come-first-serve planning policy or a deterministic runway planner.
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