Enhanced delay propagation tree model with Bayesian Network for modelling flight delay propagation

An enhanced Delay Propagation Tree model with Bayesian Network (DPT-BN) is developed to model multi-flight delay propagation and delay interdependencies. Using a set of real airline data, results show that flights have non-homogeneous delay propagation effects. The DPT-BN model is used to infer posterior delay profiles with different delay and scheduling scenarios. The major contribution of the DPT-BN model is to demonstrate how the modelling of non-independent and identically distributed delay profiles is more realistic for the observed delay propagation mechanism, and how robust airline scheduling methodologies can benefit from this probability-based delay model.

• Record URL:
  • https://doi.org/10.1080/03081060.2018.1435453
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1767712
• Supplemental Notes:
  • © 2018 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Wu, Weiwei
  • Wu, Cheng-Lung
• Publication Date: 2018-4

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 319-335
• Serial:
  • Transportation Planning and Technology
  • Volume: 41
  • Issue Number: 3
  • Publisher: Taylor & Francis
  • ISSN: 0308-1060
  • Serial URL: https://www.tandfonline.com/toc/gtpt20/current

Subject/Index Terms

• TRT Terms: Airlines; Bayes' theorem; Flight delays; Scheduling
• Subject Areas: Aviation; Operations and Traffic Management;

Filing Info

• Accession Number: 01670215
• Record Type: Publication
• Files: TRIS
• Created Date: May 24 2018 5:21PM