Cristin-resultat-ID: 1399406
Sist endret: 27. november 2017, 15:03
NVI-rapporteringsår: 2016
Resultat
Vitenskapelig artikkel
2016

An exact micro-macro approach to cyclic and non-cyclic train timetabling

Bidragsytere:
  • Carlo Mannino
  • Leonardo Cameron Lamorgese og
  • Erik Natvig

Tidsskrift

Omega. The International Journal of Management Science
ISSN 0305-0483
e-ISSN 1873-5274
NVI-nivå 2

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2016
Publisert online: 2016

Importkilder

Scopus-ID: 2-s2.0-85007531111

Beskrivelse Beskrivelse

Tittel

An exact micro-macro approach to cyclic and non-cyclic train timetabling

Sammendrag

When planning new railway infrastructures in order to enhance the network to meet future demand, the capacity departments of railway operators typically have to face a time consuming trial-and-error process. The process involves the computation of a new timetable which satisfies the demand and is feasible w.r.t. the enhanced network, and is typically carried out by expert personnel with little or no assistance by computer tools. The quality of the results is thus very dependent on the skills of the individual planner. In this paper, we describe an exact approach to produce train timetables in short computation time. The approach extends the models and decomposition algorithms previously developed for train dispatching, a deeply related operational problem. The problem is solved at the microscopic level and the final timetable, even if in general non-cyclic, can incorporate cyclicity constraints for any subset of trains. Results are presented for a feasibility study in the Oslo area commissioned by the capacity planning department at Jernbaneverket (Norway׳s infrastructure manager).

Bidragsytere

Aktiv cristin-person

Carlo Mannino

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Leonardo Cameron Lamorgese

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Erik Natvig

  • Tilknyttet:
    Forfatter
    ved Jernbaneverket
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