Skip to main content

Applying Automatic Planning Systems to Airport Ground-Traffic Control – A Feasibility Study

  • Conference paper
KI 2004: Advances in Artificial Intelligence (KI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3238))

Included in the following conference series:

Abstract

Planning techniques have matured as demonstrated by the performance of automatic planning systems at recent international planning system competitions. Nowadays it seems feasible to apply planning systems to real-world problems. In order to get an idea of what the performance difference between special-purpose techniques and automatic planning techniques is, we applied these techniques to the airport traffic control problem and compared it with a special purpose tool. In addition to a performance assessment, this exercise also resulted in a domain model of the airport traffic control domain, which was used as a benchmark in the 4th International Planning Competition.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bacchus, F.: The AIPS’00 planning competition. The AI Magazine 22(3), 47–56 (2001)

    Google Scholar 

  2. Blum, A.L., Furst, M.L.: Fast planning through planning graph analysis. Artificial Intelligence 90(1-2), 279–298 (1997)

    Article  Google Scholar 

  3. Bonet, B., Geffner, H.: Planning as heuristic search. Artificial Intelligence 129(1-2), 5–33 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  4. Edelkamp, S.: Taming numbers and durations in the model checking integrated planning system. Journal of Artificial Intelligence Research 20, 195–238 (2003)

    MATH  Google Scholar 

  5. Edelkamp, S., Hoffmann, J.: PDDL2.2: The language for the classical part of the 4th international planning competition. Technical Report 195, Albert- Ludwigs-Universität, Institut für Informatik, Freiburg, Germany (2004)

    Google Scholar 

  6. Fikes, R.E., Nilsson, N.: STRIPS: A new approach to the application of theorem proving to problem solving. Artificial Intelligence 2, 189–208 (1971)

    Article  MATH  Google Scholar 

  7. Gerevini, A., Saetti, A., Serina, I.: Planning through stochastic local search and temporal action graphs in LPG. Journal of Artificial Intelligence Research 20, 239–290 (2003)

    MATH  Google Scholar 

  8. Hatzack, W., Nebel, B.: Solving the operational traffic control problem. In: Cesta, A. (ed.) Recent Advances in AI Planning. 5th European Conference on Planning (ECP 2001), Toledo, Spain, September 2001, Springer, Heidelberg (2001)

    Google Scholar 

  9. Hoffmann, J., Nebel, B.: The FF planning system: Fast plan generation through heuristic search. Journal of Artificial Intelligence Research 14, 253–302 (2001)

    MATH  Google Scholar 

  10. Koehler, J., Nebel, B., Hoffmann, J., Dimopoulos, Y.: Extending planning graphs to an ADL subset. In: Steel, S. (ed.) ECP 1997. LNCS, vol. 1348, pp. 273–285. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  11. McDermott, D., et al.: The PDDL Planning Domain Definition Language. The AIPS-98 Planning Competition Comitee (1998)

    Google Scholar 

  12. Fox, M., Long, D.: The AIPS-2002 international planning competition. In: Proceedings of the 6th International Conference on Artificial Intelligence Planning Systems (AIPS 2002), AAAI Press, Menlo Park (2002)

    Google Scholar 

  13. Pednault, E.P.D.: ADL: Exploring the middle ground between STRIPS and the situation calculus. In: Brachman, R., Levesque, H.J., Reiter, R. (eds.) Principles of Knowledge Representation and Reasoning: Proceedings of the 1st International Conference (KR 1989), Toronto, ON, May 1989, pp. 324–331. Morgan Kaufmann, San Francisco (1989)

    Google Scholar 

  14. Trüg, S., Hoffmann, J., Nebel, B.: Applying automatic planners to airport ground-traffic control. Technical Report 199, Albert-Ludwigs- Universität, Institut für Informatik, Freiburg, Germany (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Trüg, S., Hoffmann, J., Nebel, B. (2004). Applying Automatic Planning Systems to Airport Ground-Traffic Control – A Feasibility Study. In: Biundo, S., Frühwirth, T., Palm, G. (eds) KI 2004: Advances in Artificial Intelligence. KI 2004. Lecture Notes in Computer Science(), vol 3238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30221-6_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30221-6_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23166-0

  • Online ISBN: 978-3-540-30221-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics