DocumentCode
2588312
Title
An agent oriented analysis and modeling of airborne capabilities for trajectory based operations
Author
Canino, José Miguel ; Gómez, Luis ; García, Jesús ; Besada, Juan ; Casar, José Ramón
Author_Institution
Signal & Commun. Dept., Univ. of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
fYear
2009
fDate
23-29 Oct. 2009
Abstract
Current and future air traffic is requiring new procedures and systems to achieve a greater automation of air-traffic operations. Particular difficulty presents the automation of arrival air-traffic operations in terminal areas due to aircraft speeds and environment variability into a delimited airspace where multiple aircraft converge. Several projects have proposed guidelines to implement new operational concepts as well as airborne and ground systems to carry out corresponding procedures. Developing procedures and systems are closely related. Therefore, usually it requires to analyze and to design them in a combined manner. In this paper we present an agent-oriented analysis and modeling of airborne systems capabilities to perform automated arrival and approach procedures based on user preference trajectories. A detailed architecture model of airborne capabilities is achieved through a methodological analysis of an arrival traffic scenario within the trajectory based operations paradigm.
Keywords
aerospace computing; air traffic; aircraft; multi-agent systems; agent oriented analysis; air-traffic operation automation; airborne capability modeling; aircraft; architecture model; methodological analysis; trajectory based operations; user preference trajectories; Air traffic control; Aircraft navigation; Analytical models; Automation; Delay; Discrete event simulation; Guidelines; Mathematical model; Monitoring; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Avionics Systems Conference, 2009. DASC '09. IEEE/AIAA 28th
Conference_Location
Orlando, FL
Print_ISBN
978-1-4244-4078-8
Type
conf
DOI
10.1109/DASC.2009.5347430
Filename
5347430
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