Skip to main content

Simulation Research on Aircraft Anti-collision Algorithm

  • Conference paper
  • First Online:
Human Centered Computing (HCC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11354))

Included in the following conference series:

  • 1096 Accesses

Abstract

How to prevent collision problems on the aircraft need frequent detection for flight conflicts, therefore, it is necessary to design a good aircraft anti-collision algorithm. This paper analyzed the existing flight conflict detection algorithm paielli algorithm and carried out error analysis. On the basis of the original algorithm, this paper eliminated non-conflicting and coordinate processing, the error rate calculated by the improved algorithm was smaller. At the same time, the algorithm was verified by simulation and comparison with the conflict warning tools used at present, which proved that the new algorithm is more effective in detecting flight conflicts when the aircraft is turning.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Kuchar, J., Yang, L.: A review of conflict detection and resolution. IEEE Trans. Intell. Transp. Syst. 1(4), 179–189 (2000)

    Article  Google Scholar 

  2. Hoekstra, J.M., van Gent, R., Ruigrok, R.: Designing for safety: the free flight air traffic management concept. Reliab. Eng. Syst. Saf. 75(2), 215–232 (2002)

    Article  Google Scholar 

  3. Paielli, R.A., Erzberger, H.: Conflict probability and estimation for free flight. AIAA J. Guidance Control Dyn. 20(3), 588–596 (1997)

    Article  Google Scholar 

  4. Paielli, R.A., Erzberger, H.: Conflict probability estimation generalized to non-level flight. Air Traffic Control Quart. 7(3), 1–12 (1999)

    Article  Google Scholar 

  5. Prandini, M., Hu, J., Lygeros, J., Sastry, S.: A probabilistic approach to aircraft conflict detection. IEEE Trans. Intell. Trans. Syst. Spec. Issue Air Traffic Control-Part I 1(4), 199–220 (2000)

    Article  Google Scholar 

  6. Prandini, M., Watkins, O.J.: Probabilistic aircraft conflict detection. HYBRDGE Project IST-2001-32460, Work Package WP3, Deliverable D3.2 (2005)

    Google Scholar 

  7. Stateczny, A., Bodus-Olkowska, I.: Sensor data fusion techniques for environment modelling. In: 16th International Radar Symposium (IRS), pp. 2155–2174. IEEE, Dresden (2015)

    Google Scholar 

  8. Gao, Z., Cecati, C., Ding, S.X.: A survey of fault diagnosis and fault-tolerant techniques—Part I: fault diagnosis with model-based and signal-based approaches. IEEE Trans. Industr. Electron. 62(6), 3757–3767 (2015)

    Article  Google Scholar 

  9. Li, M.: Development of foreign aircraft carrier combat system. Ship Electron. Eng. 33(5), 6–9 (2013)

    Google Scholar 

  10. Yueh, S.H., Kong, J.A., Jao, J.K., Shin, R.T., Novak, L.M.: K-distribution and polarimetric terrain radar clutter. J. Electromagn. Waves Appl. 3(8), 747–768 (2012)

    Article  Google Scholar 

  11. Mou, Q., Feng, X., Xiang, S.: Design and realization of conflict detection alarm system for airport surface. J. Sichuan Univ. (Eng. Sci. Ed.) 47(4), 104–110 (2015)

    Google Scholar 

  12. Wang, J., et al.: A method of OpenFlow-based real-time conflict detection and resolution for SDN access control policies. Chin. J. Comput. 38(4), 872–883 (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jun Peng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Guan, A., Xiang, W., Jiang, S., Peng, J., Xu, J., Huang, H. (2019). Simulation Research on Aircraft Anti-collision Algorithm. In: Tang, Y., Zu, Q., Rodríguez García, J. (eds) Human Centered Computing. HCC 2018. Lecture Notes in Computer Science(), vol 11354. Springer, Cham. https://doi.org/10.1007/978-3-030-15127-0_47

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-15127-0_47

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15126-3

  • Online ISBN: 978-3-030-15127-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics