Analysis of Hump Operation at a Railroad Classification Yard

Maria Gisela Bardossy

Abstract

Railroad classification yards play a significant role in freight transportation: shipments are consolidated to benefit from economies of scales. However, the disassembling of inbound trains, the classification of railcars and reassembling of outbound trains add significant time to the overall transportation. Determining the operational schedule of a railroad classification yard to ensure that railcars pass as quickly as possible through the yard to continue with their journey to their final destination is a challenging problem. In this paper, we create a simulation model to mimic the dynamics of a classification yard and investigate the effect of two simple but practical priority rules (train length and arrival time) for the sequencing of inbound trains through the humping operation. We monitor the effect of these rules on performance measures such as average wait time (dwell time) at the yard and daily throughput as the complexity and frequency of the trains vary. We run the simulation on four data sets with low and high complexity of trains and low and high frequency of trains.

References

  1. Armstrong, J. H. (1990). The Railroad: What it is, What it Does. The Introduction to Railroading.
  2. Avramovic, Z. Z? . (1995). Method for evaluating the strength of retarding steps on a marshalling yard hump. European journal of operational research, 85(3):504-514.
  3. Bontekoning, Y. and Priemus, H. (2004). Breakthrough innovations in intermodal freight transport. Transportation Planning and Technology, 27(5):335-345.
  4. Boysen, N., Fliedner, M., Jaehn, F., and Pesch, E. (2012). Shunting yard operations: Theoretical aspects and applications. European Journal of Operational Research, 220(1):1-14.
  5. Cordeau, J.-F., Toth, P., and Vigo, D. (1998). A survey of optimization models for train routing and scheduling. Transportation science, 32(4):380-404.
  6. Crane, R. R., Brown, F. B., and Blanchard, R. O. (1955). An analysis of a railroad classification yard. Journal of the Operations Research Society of America, 3(3):262-271.
  7. Daganzo, C. F., Dowling, R. G., and Hall, R. W. (1983). Railroad classification yard throughput: The case of multistage triangular sorting. Transportation Research Part A: General, 17(2):95-106.
  8. Dirnberger, J. R. and Barkan, C. P. (2007). Lean railroading for improving railroad classification terminal performance: bottleneck management methods. Transportation Research Record: Journal of the Transportation Research Board, 1995(1):52-61.
  9. Eggermont, C., Hurkens, C. A., Modelski, M., and Woeginger, G. J. (2009). The hardness of train rearrangements. Operations Research Letters, 37(2):80-82.
  10. Hansmann, R. S. and Zimmermann, U. T. (2008). Optimal sorting of rolling stock at hump yards. Springer.
  11. He, S., Song, R., and Chaudhry, S. S. (2003). An integrated dispatching model for rail yards operations. Computers & operations research, 30(7):939-966.
  12. INFORMS (2015). Railway Applications Section (RAS) problem solving competition.
  13. Jacob, R., Márton, P., Maue, J., and Nunkesser, M. (2011). Multistage methods for freight train classification. Networks, 57(1):87-105.
  14. Jaehn, F., Rieder, J., and Wiehl, A. (2015). Minimizing delays in a shunting yard. OR Spectrum, 37(2):407- 429.
  15. Keaton, M. H. (1989). Designing optimal railroad operating plans: Lagrangian relaxation and heuristic approaches. Transportation Research Part B: Methodological, 23(6):415-431.
  16. Kraft, E. R. (2002). Priority-based classification for improving connection reliability in railroad yards. In Journal of the Transportation Research Forum, volume 56.
  17. Mansfield, E. and Wein, H. H. (1958). A model for the location of a railroad classification yard. Management Science, 4(3):292-313.
  18. Martland, C. D. (1982). Pmake analysis: Predicting rail yard time distributions using probabilistic train connection standards. Transportation Science, 16(4):476-506.
  19. Márton, P., Maue, J., and Nunkesser, M. (2009). An improved train classification procedure for the hump yard lausanne triage. In ATMOS.
  20. Petersen, E. (1977a). Railyard modeling: Part i. prediction of put-through time. Transportation Science, 11(1):37-49.
  21. Petersen, E. (1977b). Railyard modeling: Part ii. the effect of yard facilities on congestion. Transportation Science, 11(1):50-59.
  22. Siddiqee, M. W. (1971). Investigation of sorting and train formation schemes for a railroad hump yard. Technical report.
  23. Turnquist, M. A. and Daskin, M. S. (1982). Queuing models of classification and connection delay in railyards. Transportation Science, 16(2):207-230.
  24. Yagar, S., Saccomanno, F., and Shi, Q. (1983). An efficient sequencing model for humping in a rail yard. Transportation Research Part A: General, 17(4):251-262.
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Paper Citation


in Harvard Style

Bardossy M. (2015). Analysis of Hump Operation at a Railroad Classification Yard . In Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-120-5, pages 493-500. DOI: 10.5220/0005546704930500


in Bibtex Style

@conference{simultech15,
author={Maria Gisela Bardossy},
title={Analysis of Hump Operation at a Railroad Classification Yard},
booktitle={Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2015},
pages={493-500},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005546704930500},
isbn={978-989-758-120-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Analysis of Hump Operation at a Railroad Classification Yard
SN - 978-989-758-120-5
AU - Bardossy M.
PY - 2015
SP - 493
EP - 500
DO - 10.5220/0005546704930500