No abstract

The operations of takeoff and landing at airports are often subject to some delays caused by the application of the Ground Delay Program (GDP) and Air Holding Program (AHP). The effects of these delays impact to the related entities in the traffic scenario, such as Air Traffic Control (ATC) unity and airlines. As a result, Collaborative Decision Making (CDM) is being employed as a methodology for increasing the efficiency of air traffic management, through the involvement of partners within the airports. However, many current implementations of CDM are focused on the sharing of information. This study proposes a CDM model based on Satisficing Game Theory for computing decisions involving the three main stakeholders in airport scenario: airport service management, airlines, and ATC unity. Initially, we defined the preference for each entity, such as rejectability, and selectability functions. We then built the Satisficing CDM model to establish the collaborative decision process in airport. The case study shows the effective of the developed system in the air terminal area to define the sequences of the flights in take-off and landing.

To analyze fairness between passengers and airlines considering financial cost, the management of the adaptation for air traffic flow in a heuristic and dynamically manner is studied in this research. Multi-Agent theory with reinforcement learning approach is used as a basic methodology integrated with a system of Decision Support System Applied to Tactical Air Traffic Flow Management (SISCONFLUX). The objective to develop this model is to increase the safety preserve and reduce the air traffic congestions. Reward structure with evaluation functions of financial cost and delay's impact is proposed for related flights using real data from Brasilia's Flight Information Region (FIR-BS). With the developed model, the experimental results show that the time delay is 25% less than the results computed only by Graph Theory with the same data, and fairness considering financial cost factor can be used together with congestion scenario in the air traffic management without affecting safety and flow factors.