A joint stochastic programming approach for aircraft landing and terminal traffic flow problem under weather scenarios

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.