Skip to main content

Trajectory Prediction for Using Real Data and Real Meteorological Data

  • Conference paper
  • First Online:
Ubiquitous Computing Application and Wireless Sensor

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 331))

Abstract

Trajectory prediction is basic work for 4D-trajectory modeling, conflict detection and air traffic flow management. This paper proposes a novel algorithm based distance calculation formula (vincenty formula) for trajectory prediction. We demonstrated through simulations with real flight plan and real meteorological data and experimental results show that our trajectory prediction exhibits good performance in real air traffic management environment.

This research was supported by a grant (code# 07aviation-navigation-03) from Aviation Improvement Program funded by Ministry of Construction and Transportation of Korean government.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. FAA (2012) Air traffic control Chapter 2. General control. FAA order JO7110.65U, Feb 9 2012

    Google Scholar 

  2. ICAO (2008) Threat and error management (TEM) in air traffic control. ICAO Cir 314 QN/178 2008

    Google Scholar 

  3. Tomlin C, Pappas GJ, Sastry S (1998) Conflict resolution for air traffic managements: a study in multiagent hybrid systems. IEEE Trans Autom Control 43(4):509–521

    Google Scholar 

  4. EUROCONTROL (2012) User manual for the base of aircraft data (BADA) revision 3.10. Report No. 12/04/10-45, Apr 2012

    Google Scholar 

Download references

Acknowledgments

Foundation item: This research was supported by a grant (code# 07aviation-navigation-03) from Aviation Improvement Program funded by Ministry of Construction and Transportation of Korean government.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yong Kyun Kim .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Kim, Y.K., Han, J.W., Park, H. (2015). Trajectory Prediction for Using Real Data and Real Meteorological Data. In: Park, J., Pan, Y., Chao, HC., Yi, G. (eds) Ubiquitous Computing Application and Wireless Sensor. Lecture Notes in Electrical Engineering, vol 331. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9618-7_9

Download citation

  • DOI: https://doi.org/10.1007/978-94-017-9618-7_9

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9617-0

  • Online ISBN: 978-94-017-9618-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics