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A joint stochastic programming approach for aircraft landing and terminal traffic flow problem under weather scenarios
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作者 T.C.Yeung Chenliang Zhang +1 位作者 Zhongyi Jin Kam K.H.Ng 《Journal of the Air Transport Research Society》 2024年第2期255-264,共10页
A stochastic programming model on the combination of aircraft landing problem and terminal traffic flow management under uncertainty is proposed in this work.In reality,various kinds of uncertainties,including adverse... A stochastic programming model on the combination of aircraft landing problem and terminal traffic flow management under uncertainty is proposed in this work.In reality,various kinds of uncertainties,including adverse weather events,occur more frequently and interrupt air traffic operations.Some of these uncertain events can appear and disappear in a short period.Furthermore,the occurrence of these events affects the flights significantly,delaying the flights or event harming the safety of passengers.Thus,it is essential to respond to these uncertainties to ensure the level of safety at runtime.Runway operation may cease due to strong wind shear,turbulence,microburst or other extreme weather scenarios,is limited due to the restricted airspace capacity,and we extend the problem covering the terminal airspace.The proposed model can significantly reduce the total delay time of aircraft in the computations. 展开更多
关键词 stochastic programming model Aircraft landing problem Terminal traffic flow problem Sample Average Approximation
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