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An Interactive Train Scheduling Tool for Solving and Plotting Running Maps

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Current Topics in Artificial Intelligence (TTIA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3040))

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Abstract

We present a tool for solving and plotting train schedules which has been developed in collaboration with the National Network of Spanish Railways (RENFE). This tool transforms railway problems into formal mathematical models that can be solved and then plots the best possible solution available. Due to the complexity of problems of this kind, the use of preprocessing steps and heuristics become necessary. The results are plotted and interactively filtered by the human user.

This work has been supported by a join contract RENFE-UC/UPV and a visiting research fellow (Miguel A. Salido) from the Polytechnic University of Valencia, Spain.

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References

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

    Article  MathSciNet  Google Scholar 

  2. Bussiecky, M.R., Zimmermann, U.T. Combinatorial Optimization Methods for Optimal Lines in Real-World Railway Systems. Technical Report TR-95-03 (1996)

    Google Scholar 

  3. Caprara, A., Fischetti, M., Toth, P.: Modeling and Solving the Train Timetabling Problem. Research Report OR/00/9 DEIS (2000)

    Google Scholar 

  4. Caprara, A., Fischetti, M., Guida, P., Monaci, M., Sacco, G., Toth, P.: Solution of Real-World Train Timetabling Problems. In: 34th Annual Hawaii International Conference on System Sciences (HICSS-34), vol. 3 (2001)

    Google Scholar 

  5. Chiu, C.K., Chou, C.M., Lee, J.H.M., Leung, H.F., Leung, Y.W.: A Constraint- Based Interactive Train Rescheduling Tool. Constraints 7, 167–198 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  6. Kaas, A.H.: Methods to Calculate Capacity of Railways. Ph. Dissertation (1998)

    Google Scholar 

  7. Kreuger, P., Carlsson, M., Olsson, J., Sjoland, T. Astrom, E.: The TUFF train scheduler: Two duration trip scheduling on multi directional track networks. Workshop on Tools and Environments for Constraint Logic Programming (1997)

    Google Scholar 

  8. Lindner, T.: Train schedule optimization in public rail transport, Ph. Dissertation, Technische Universitat Braunschweig, Germany (2000)

    Google Scholar 

  9. Oliveira, E., Smith, B.M.: A Job-Shop Scheduling Model for the Single-Track Railway Scheduling Problem. Research Report 2000.21, University of Leeds (2000)

    Google Scholar 

  10. Zuidwijk, R.A., Kroon, L.G.: Integer Constraints for Train Series Connections, Erasmus Research Institute of Management (ERIM), Discussion Paper (2002)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Barber, F., Salido, M.A., Ingolotti, L.P., Abril, M., Lova, A.L., Tormos, M.P. (2004). An Interactive Train Scheduling Tool for Solving and Plotting Running Maps. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, JL. (eds) Current Topics in Artificial Intelligence. TTIA 2003. Lecture Notes in Computer Science(), vol 3040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25945-9_64

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  • DOI: https://doi.org/10.1007/978-3-540-25945-9_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22218-7

  • Online ISBN: 978-3-540-25945-9

  • eBook Packages: Springer Book Archive

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