Tactical Runway Scheduling for Demand and Delay Management

Airports are limited in terms of capacity. Particularly, runways can only accommodate a certain number movements (arrivals and departures) while ensuring safety determined operational requirements. In such constrained operating environment, any reduction system capacity results major delays with significant costs for airlines passengers. Therefore, the efficient operation airports is critical cornerstone demand delay management whole air transportation system. Runway scheduling deals sequencing arriving departing aircraft at that predefined objective optimized subject to several constraints, like dependency separation on leading trailing type or runway occupancy time. Scheduling arrivals departures complex problem needs address diverse often competing considerations among involved flights. context Airport Collaborative Decision Making (A-CDM) programme, airport operators navigation service providers require arrival departure tools improve flows airports. optimization, as main element combines airside groundside operations, an ongoing challenge traffic management. By considering real performance data scheduled actual movements, well arrival/departure delays, we present robust model together optimization algorithm, which incorporates knowledge uncertainty into tactical step. Our has been validated from large international European different scenarios. Results compared flights show algorithm significantly contribute delay, adhering much possible operative procedures objectives stakeholders. Computational experiments performed case study illustrate benefits this integrated approach.