Skip to main content

Intelligent Train Scheduling on a High-Loaded Railway Network

  • Conference paper
Algorithmic Methods for Railway Optimization

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4359))

Abstract

We present an interactive application to assist planners in adding new trains on a complex railway network. It includes many trains with different characteristics, whose timetables cannot be modified because they are already in circulation. The application builds the timetable for new trains linking the available time slots to trains to be scheduled. A very flexible interface allows the user to specify the parameters of the problem. The resulting problem is formulated as a CSP and efficiently solved. The solving method carries out the search assigning values to variables in a given order verifying the satisfaction of constraints where these are involved. When a constraint is not satisfied, a guided backtracking is done. Finally, the resulting timetable is delivered to the user who can interact with it, guaranteeing the traffic constraint satisfaction.

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. Bussieck, M.R., Winter, T., Zimmermann, U.T.: Discrete optimization in public rail transport. Math. Programming 79(1-3), 415–444 (1997)

    Article  MathSciNet  Google Scholar 

  2. Chiu, C.K., Chou, C.M., Lee, J.H.M., Leung, H.F., Leung, Y.W.: A constraint based interactive train rescheduling took. Constraints 7, 167–198 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  3. Cordeau, J.F., Toth, P., Vigo, D.: A survey of optimization models for train routing and scheduling. Transportation Science 32(4), 380–404 (1998)

    Article  MATH  Google Scholar 

  4. Koci, L., Di Stefano, G.: A graph theoretical approach to shunting problems. In: Proceedings of ATMOS 2003 Algorithmic Methods and Models for Optimization of Railways, Electronic Notes in Theoretical Computer Science, Elsevier 92, vol. 1 (2003)

    Google Scholar 

  5. Kreuger, P., Carlsson, J.O., Sjoland, T., Astrom, E.: The tuff train scheduler. In: Puebla, G. (ed.) Proceedings of the workshop on Tools and Environments for (Constraints) Logic Programming at the International Logic Programming Symposium ILPS’97 (1997)

    Google Scholar 

  6. Liebchen, C.: Symmetry for periodic railway timetables. In: Proceedings of ATMOS 2003 Algorithmic Methods and Models for Optimization of Railways, Electronic Notes in Theoretical Computer Science 92, vol. 1 (2003)

    Google Scholar 

  7. Mammana, M.F., Mecke, S., Wagner, D.: The station location problem on two intersecting lines. In: Proceedings of ATMOS 2003 Algorithmic Methods and Models for Optimization of Railways, Electronic Notes in Theoretical Computer Science, Elsevier 92, vol. 1 (2003)

    Google Scholar 

  8. Serafini, P., Ukovich, W.: A mathematical model for periodic scheduling problems. SIAM Journal on Discrete Mathematics 2(4), 550–581 (1989)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Frank Geraets Leo Kroon Anita Schoebel Dorothea Wagner Christos D. Zaroliagis

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lova, A., Tormos, P., Barber, F., Ingolotti, L., Salido, M.A., Abril, M. (2007). Intelligent Train Scheduling on a High-Loaded Railway Network. In: Geraets, F., Kroon, L., Schoebel, A., Wagner, D., Zaroliagis, C.D. (eds) Algorithmic Methods for Railway Optimization. Lecture Notes in Computer Science, vol 4359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74247-0_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74247-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74245-6

  • Online ISBN: 978-3-540-74247-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics