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Revisiting the richness of integrated vehicle and crew scheduling

  • Liping Ge
  • , Natalia Kliewer
  • , Abtin Nourmohammadzadeh
  • , Stefan Voß*
  • , Lin Xie
  • *Corresponding author for this work

Research output: Journal contributionsJournal articlesResearchpeer-review

15 Citations (Scopus)

Abstract

The last decades have seen a considerable move forward regarding integrated vehicle and crew scheduling in various realms (airline industry, public transport). With the continuous improvement of information and communication technology as well as general solvers it has become possible to formulate more and more rich versions of these problems. In public transport, issues like rostering, delay propagation or days-off patterns have become part of these integrated problems. In this paper we aim to revisit an earlier formulation incorporating days-off patterns and investigate whether solvability with standard solvers has now become possible and to which extent the incorporation of other aspects can make the problem setting more rich and still keep the possible solvability in mind. This includes especially issues like delay propagation where in public transport delay propagation usually refers to secondary delays following a (primary) disturbance. Moreover, we investigate a robust version to support the claim that added richness is possible. Numerical results are provided to underline the envisaged advances.

Original languageEnglish
JournalPublic Transport
Volume16
Issue number3
Pages (from-to)775-801
Number of pages27
ISSN1866-749X
DOIs
Publication statusPublished - 10.2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2022.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research areas and keywords

  • Informatics
  • Business informatics

ASJC Scopus Subject Areas

  • Mechanical Engineering
  • Transportation
  • Information Systems
  • Management Science and Operations Research

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