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Complex Dynamics of Air Traffic Flow

  • Banavar SridharEmail author
  • Kapil Sheth
Reference work entry
Part of the Encyclopedia of Complexity and Systems Science Series book series (ECSSS)

Glossary

Air traffic flow

Air Traffic Flow represents the distribution of air traffic over a region of space. Air traffic is undergoing major changes both in developed and developing countries. The demand for air traffic depends on population growth and other economic factors. Air traffic in the United States is expected to grow to two or three times the baseline levels of traffic in the next few decades. An understanding of the characteristics of the baseline and future flows is essential to design of a good traffic flow management strategy.

Complex networks

A network connects components of a system. The connections and the number of components vary with the function of the network. It is extremely difficult to analyze and visualize the behavior of networks when the number of components in the system becomes large. There has been a major advance in our understanding of the behavior of networks with large number of components. Several theories have been advanced about the evolution of...

Bibliography

  1. Airbus (2002) Global market forecast 2001–2002. Reference CB 390.0008/02. Airbus S.A.S, BlagnacGoogle Scholar
  2. Albert R, Jeong H, Barabasi AL (2000) Error and attack tolerance of complex networks. Nature 406:378–382CrossRefGoogle Scholar
  3. Amaral LAN, Scala A, Barthelemy M, Stanley HE (2000) Classes of small-world networks. Proc Natl Acad Sci U S A 97(21):11149–11152CrossRefGoogle Scholar
  4. Anonymous (2018) OAG Megahubs international index. The world’s most internationally connected airportsGoogle Scholar
  5. Barabasi AL (2017) Network science. Cambridge University Press, CambridgezbMATHGoogle Scholar
  6. Barabasi AL, Bonabeau E (2003) Scale-free networks. Sci Am 288:50–59CrossRefGoogle Scholar
  7. Boeing- Current Market Outlook (2007) http://www.boeing.com/commercial/cmo
  8. Bonnefoy PA, Hansman RJ (2004) Emergence and impact of secondary airports in the United States. In: 4th AIAA aviation technology, integration and operations conference, ChicagoGoogle Scholar
  9. Borener S, Carr G, Ballard D, Hasan S (2006) Can NGATS meet the demands of the future? J Air Traffic Control 48:34–38Google Scholar
  10. Broder A et al (2000) Graph structure in the web. Comput Netw 33:309–320CrossRefGoogle Scholar
  11. Bureau of Transportation Statistics (2018) 2017 Annual and December U.S. airline traffic data. https://www.bts.dot.gov/newsroom/2017-annual-and-december-us-airline-traffic-dataBureau
  12. DeLaurentis D, Han E, Kotegawa T (2006) Establishment of a network-based simulation of future air transportation concepts. In: 6th AIAA aviation technology, integration and operations conference, WichitaGoogle Scholar
  13. Donohue G (2003) Air transportation is a complex adaptive system: not an aircraft design. In: AIAA/ICAS international air and space symposium and exposition DaytonGoogle Scholar
  14. Erdos P, Renyi A (1960) On the evolution of random graphs. Publ Math Inst Hung Acad Sci 5:17–61MathSciNetzbMATHGoogle Scholar
  15. Eurocontrol (2007) An assessment of air traffic management in Europe during the calender year 2006: performance review report. Eurocontrol, BrusselsGoogle Scholar
  16. Federal Aviation Administration (2004) Order 7210.55C: operational data reporting requirements. U. S. Department of TransportationGoogle Scholar
  17. Federal Aviation Administration (2016) The economic impact of civil aviation on the U.S. Economy. https://www.faa.gov/air_traffic/publications/media/2016-economic-impact-report_FINAL.pdf
  18. Federal Aviation Administration (2017) NextGen prioities: joint implementation plan update including the Northeast Corridor. https://www.faa.gov/nextgen/media/NGPriorities-2017.pdf
  19. Federal Aviation Administration (2018) Terminal area forecast summary, fiscal years 2017–2045. http://www.faa.gov/data_research/aviation/taf
  20. Huang AS, Schleicher D, Hunter G (2006) Future flight demand generation Tool. In: 6th AIAA aviation technology, integration and operations conference, WichitaGoogle Scholar
  21. Newman MEJ (2003) The structure and function of complex networks. SIAM Rev 45:167–256MathSciNetCrossRefGoogle Scholar
  22. Pearce RA (2006) The next generation air transportation system: transformation starts now. J Air Traffic Control:7–10Google Scholar
  23. Roy S, Xue M, Sridhar B (2017) Vulnerability metrics for the airspace system. Twelfth USA/Europe air traffic management research and development seminar (ATM 2017), SeattleGoogle Scholar
  24. Schroeder JA (2009) A perspective on NASA Ames Air Traffic Management Research. AIAA-2009–7054. In: AIAA aviation, technology, integration, and operations (ATIO) conference and aircraft noise and emissions reduction symposium (ANERS), Hilton HeadGoogle Scholar
  25. Sridhar B, Chatterji G (2015) Air traffic management. In: John Wiley Encyclopedia of electrical engineering. WileyGoogle Scholar
  26. Sridhar B, Swei SM (2006) Relationship between weather, traffic and delay based on empirical methods. In: 6th AIAA aviation technology, integration and operations conference, WichitaGoogle Scholar
  27. Sridhar B, Sheth K, Smith P, Leber W (2005) Migration of FACET from simulation environment to dispatcher decision support system. In: Proceedings of digital avionics systems conference, WashingtonGoogle Scholar
  28. Strogatz SH (2001) Exploring complex networks. Nature 410:268–276CrossRefGoogle Scholar
  29. Teal Group (2003) World unmanned aerial vehicle systems, market profile and forecast, Fairfax, VAGoogle Scholar
  30. Viken J, et al (2006) NAS demand predictions, transportation systems analysis model (TSAM) compared with other forecasts. In: 6th AIAA aviation technology, integration and operations conference, WichitaGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.NASA Ames Research CenterMoffett FieldUSA

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