Automatic dependent surveillance broadcast (ADS–B)
is a surveillance technology in which an aircraft determines its position via satellite navigation and periodically broadcasts it, enabling it to be tracked.
Aircraft Sequencing Problem(ASP)
is a well-known operations research problem. It is concerned with defining optimal strategies for the sequencing of arriving flights at an airport to optimize as part of the management of traffic flow during the final flight phase.
Air traffic management (ATM)
is an aviation term encompassing all systems that assist aircraft to depart from an aerodrome, transit airspace, and land at a destination aerodrome, including Air Traffic Service(ATS), Airspace Management (ASM),and Air Traffic Flow and Capacity Management (ATFCM).
Methontology methodology was developed in the Artificial Intelligence Lab of the
Technical University of Madrid (UPM). The methontology framework enables the
construction of ontologies at the knowledge level and encompasses the identification
of the ontology development process, as well as a lifecycle based on evolving
prototypes and specific techniques for the description of the processes.
Ontology: encompasses a representation, formal naming and definition of the categories, properties and relations between the concepts, data and entities that substantiate one, many, or all domains of discourse.
Terminal Control Area(TCA or TMA): A terminal control area (TMA, or TCA in the U.S. and Canada), also known as a terminal manoeuvring area (TMA) in Europe, is an aviation term to describe a designated area of controlled airspace surrounding a major airport where there is a high volume of traffic.
7-Refrences
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[3] Noy, N. F., & McGuinness, D. L. (2001). Ontology Development 101: A Guide to Creating Your First Ontology (Technical Report No. SMI-2001-0880).
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[6]Putten, B.-J.v., S. Wolfe, and M. Dignum, An ontology for traffic flow management 2008.
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[8] Neff, J. M., Some, R., & Lyke, J. (2007). Lessons Learned in Building a Spacecraft XML Taxonomy and Ontology. Paper presented at the AIAA Infotech@Aerospace.
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[10] Durak, U., Oguztuzun, H., & Ider, S. K. (2006). An ontology for trajectory simulation. Paper presented at the 38th Winter Simulation Conference.
[11] Dignum, V., Dignum, F., & Meyer, J. J. (2004). An Agent-Mediated Approach to the Support of Knowledge Sharing in Organizations. Knowledge Engineering Review, 19(2), 147–174.
[12] Sierhuis, M., Clancey, W. J., & Van Hoof, R. (2007). Brahms: A multiagent modeling environment for simulating work processes and practices. International Journal of Simulation and Process Modelling, Inderscience Publishers, 3(3), 134–152.
[13] Idris, H., et al. (2006) Field Observations of Interactions Between Traffic Flow Management and Airline Operations. In AIAA 6th Aviation, Technology, Integration, and Operations Conference (ATIO’06). Wichita, Kansas.
[14] Idris, H., et al. (2005) Operational Concept for Collaborative Traffic Flow Management based on Field Observations. In AIAA 5th Aviation, Technology, Integration, and Operations Conference (ATIO’05). Arlington, Virginia.
[15] Wolfe, S. R. (2007). Supporting Air Traffic Flow Management with Agents. Paper presented at the AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants, Stanford, CA.