Taxiway management through multi agent system

BibliografiaThe expected rate of growth in air traffic demand is imbalanced with the rate of growth in capacity of airport infrastructures. Ground operations in terminal areas are highly constrained due to the limitations of accommodating safe and efficient traffic flow under pre-defined terminal trajectories. The gradual growth of air traffic operations creates a challenge when balancing the capacity of ground infrastructures with the demand of air traffic (arrivals and departures) in presence of limited ground configurations including runways, taxiways and gates. Terminal areas must be considered a key part of air traffic management systems to enhance the overall traffic flow. An airport represents a connecting process between two consecutive flights. The preparation process of an inbound aircraft for a following outbound flight that is scheduled for the same aircraft is known as a turnaround. Therefore the efficiency of ground operations in airport management involves the proper execution of turnarounds which have a direct impact on delays and furthermore on the efficiency of the overall air traffic flow. As a result, airports are expected to be the bottleneck of the air traffic process so it is necessary to increase their capacity. Airport capacity can grow mainly in two different ways. First of all, the capacity of ground operations can be increased by developing plans for airport expansions such as building new terminals or runways, which is a long and especially expensive process. The challenges of this option are making more evident the need to make more of the available capacity. So the other possibility is to improve the efficiency of the existing terminals through the gradual introduction of advanced air traffic management (ATM) procedures to enhance the fluidity of ground operations. This thesis will explore the introduction of Multi-Agent Systems (MAS) between aircrafts to improve the fluidity of ground operations. The main purpose is to analyse the effectiveness of MAS in taxiways management due to the significant paper which taxiways represent as a connector of the different phases of a turnaround. The main objective of this thesis is to analyse the effectiveness of MAS enhancing the fluidity in ground operations. MAS will allow real-time communication between aircrafts to determinate which is the best trajectory according to a set of initial conditions predefined by the airline company. This system will provide paths in 3D, where the thitrd dimension is the time in which these actions will be executed, taking into consideration the pre-defined flight schedule. Furthermore, it will reduce the workload of air traffic controllers contributing to the improvement in the overall air traffic management

A Multi-Agent Decision Support System for Dynamic Supply Chain Organization

In this work, a multi-agent system (MAS) for supply chain dynamic con- figuration is proposed. The brain of each agent is composed of a Bayesian Decision Network (BDN); this choice allows the agent for taking the best decisions esti- mating benefits and potential risks of different strategies, analyzing and managing uncertain information about the collaborating companies. Each agent collects infor- mation about customer’s orders and current market prices, and analyzes previous experiences of collaborations with trading partners. The agent therefore performs a probabilistic inferential reasoning to filter information modeled in its knowledge base in order to achieve the best performance in the supply chain organization