Skip to main content
SpringerLink
Log in

From Theory to Practice: AI Planning for High Performance Elevator Control

(Extended Abstract)

  • Conference paper
  • First Online:
KI 2001: Advances in Artificial Intelligence (KI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2174))

Included in the following conference series:

Abstract

Offering an individually tailored service to passengers while maintaining a high transportation capacity of an elevator group is an upcoming challenge in the elevator business, which cannot be met by software methods traditionally used in this industry. AI planning offers a novel solution to these control problems: (1) by synthesizing the optimal control for any situation occurring in a building based on fast search algorithms, (2) by implementing a domain model, which allows to easily add new features to the control software. By embedding the planner into a multi-agent system, real-time interleaved planning and execution is implemented and results in a highperforming, self-adaptive, and modular control software.

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

Access this chapter

Log in via an institution
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.

Reference

  1. J. Koehler and K. Schuster. Elevator control as a planning problem. In S. Chien, S. Kambhampati, and C. Knoblock, editors, Proceedings of the 5th International Conference on Artificial Intelligence Planning and Scheduling, pages 331–338. AAAI Press, Menlo Park, 2000.

    Google Scholar 

  2. Jana Koehler. Von der Theorie zur Praxis: Verkehrsplanung für Hochleistungsaufz üge. Künstliche Intelligenz, 2, 2001.

    Google Scholar 

  3. B. Seckinger. Synthese von Aufzugssteuerungen mit Hilfe von Constraintbasierten Suchverfahren. Master’s thesis, Albert-Ludwigs-Universität Freiburg, 1999.

    Google Scholar 

  4. Bernhard Seckinger and Jana Koehler. Online-Synthese von Aufzugssteuerungen als Planungsproblem. In 13. Workshop Planen und Konfigurieren,Interner Bericht des Instituts für Informatik der Universität Würzburg, pages 127–134, 1999.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. IBM Zurich Research LAboratory, Switzerland

    Jana Koehler

Authors
  1. Jana Koehler
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. RWTH Aachen, Theoretical Computer Science, Ahornstrasse 55, 52074, Aachen, Germany

    Franz Baader

  2. Intelligent Systems Department, University of Leipzig, Computer Science Institute, Augustusplatz 10-11, 04109, Leipzig, Germany

    Gerhard Brewka

  3. Institute of Information Systems Knowledge-Based Systems Group, Vienna University of Technology, Favoritenstrasse 11, 1040, Wien, Austria

    Thomas Eiter

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Koehler, J. (2001). From Theory to Practice: AI Planning for High Performance Elevator Control. In: Baader, F., Brewka, G., Eiter, T. (eds) KI 2001: Advances in Artificial Intelligence. KI 2001. Lecture Notes in Computer Science(), vol 2174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45422-5_33

Download citation

  • DOI: https://doi.org/10.1007/3-540-45422-5_33

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42612-7

  • Online ISBN: 978-3-540-45422-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation