Multi-Agent System for Air Runway Sequencing and Scheduling
Development of Multi-Agent System for Air Runway Sequencing and Scheduling Problem
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Due to an anticipated increase in air traffic during the next decade, air traffic control in busy airports is one of the main challenging tasks to the controllers in the near future. Since the runway is often a bottleneck in an airport system, there is great interest in optimizing usage of the runway by applying the algorithms and various techniques. Sequencing and scheduling of aircraft landing at airports is a major issue in daily air traffic control (ATC) operations. Airports, especially busy airports, proved to be the bottleneck resources in the air traffic control system. Multi-agent Syst...
Due to an anticipated increase in air traffic during the next decade, air traffic control in busy airports is one of the main challenging tasks to the controllers in the near future. Since the runway is often a bottleneck in an airport system, there is great interest in optimizing usage of the runway by applying the algorithms and various techniques. Sequencing and scheduling of aircraft landing at airports is a major issue in daily air traffic control (ATC) operations. Airports, especially busy airports, proved to be the bottleneck resources in the air traffic control system. Multi-agent System (MAS), a branch of artificial intelligence, has been applied to the air runway sequencing and scheduling problem. MAS have gained a tremendous popularity in the field of manufacturing system for machine scheduling but in the air landing field it's limited. This book presents a Multi-agent System (MAS) framework for air runway sequencing and scheduling that handles the dynamic situations. The architecture of the system is developed and cooperation mechanisms of various agents are described.
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