A knowledge-based method for scheduling arrival aircraft in the terminal area has been implemented and tested in real-time simulation. The scheduling system automatically sequences, assigns landing times, and assigns runways to arrival aircraft by utilizing continuous updates of aircraft radar data and controller inputs. The scheduling algorithms is driven by a knowledge base which was obtained in over two thousand hours of controller-in-the-loop real-time simulation. The knowledge base contains a series of hierarchical 'rules' and decision logic that examines both performance criteria, such as delay reduction, as well as workload reduction criteria, such as conflict avoidance. The objective of the algorithms is to devise an efficient plan to land the aircraft in a manner acceptable to the air traffic controllers. This paper will describe the scheduling algorithms, give examples of their use, and present data regarding their potential benefits to the air traffic system.
Knowledge-Based Scheduling of Arrival Aircraft
1995
12 pages
Report
Keine Angabe
Englisch
Air Transportation , Aeronautics , Automatic landing control , Control systems design , Controllers , Knowledge based systems , Scheduling , Self adaptive control systems , Command and control , Decision making , Knowledge bases (Artificial intelligence) , Air traffic controllers (Personnel) , Algorithms , Computer systems performance , Computerized simulation , Radar data , Real time operation , Sequencing , Workloads (Psychophysiology)
Knowledge-based scheduling of arrival aircraft
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