11. Multistage Methods for Freight Train Classification

Authors Riko Jacob, Peter Marton, Jens Maue, Marc Nunkesser



PDF
Thumbnail PDF

File

OASIcs.ATMOS.2007.1179.pdf
  • Filesize: 304 kB
  • 17 pages

Document Identifiers

Author Details

Riko Jacob
Peter Marton
Jens Maue
Marc Nunkesser

Cite AsGet BibTex

Riko Jacob, Peter Marton, Jens Maue, and Marc Nunkesser. 11. Multistage Methods for Freight Train Classification. In 7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07). Open Access Series in Informatics (OASIcs), Volume 7, pp. 158-174, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)
https://doi.org/10.4230/OASIcs.ATMOS.2007.1179

Abstract

In this paper we establish a consistent encoding of freight train classification methods. This encoding scheme presents a powerful tool for efficient presentation and analysis of classification methods, which we successfully apply to illustrate the most relevant historic results from a more theoretical point of view. We analyze their performance precisely and develop new classification methods making use of the inherent optimality condition of the encoding. We conclude with deriving optimal algorithms and complexity results for restricted real-world settings.
Keywords
  • Freight trains
  • sorting algorithms
  • train classification
  • shunting
  • cargo

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail