Prediction of all-causes of airline delays at Zurich airport based on decision tree
Loading...
Author (Corporation)
Publication date
2023
Type of student thesis
Course of study
Collections
Type
04B - Conference paper
Editors
Editor (Corporation)
Supervisor
Parent work
Transportation Research Procedia
Special issue
DOI of the original publication
Link
Related research data
Series
Series number
Volume
Issue / Number
Pages / Duration
1-8
Patent number
Publisher / Publishing institution
Place of publication / Event location
Santander
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
This paper explores the main factors which may potentially cause flight delay at a hub airport and proposes a generalized flight delay prediction model based on the decision tree (DT) method. The proposed model is developed using data recorded at Zurich airport. From the obtained DT models, we can conclude that the primary splitters in the classification of delayed flights are: the period of the day, whether the flight belongs to the dominant airline, type of handling agent, peak or off-peak period, whether the flight is from North America/Europe or a Schengen country, number of passengers and number of connecting passengers.
Keywords
Subject (DDC)
Event
25th Euro Working Group on Transportation Meeting (EWGT 2023)
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
No
Strategic action fields FHNW
Publication status
Published
Review
peer-reviewed
Open access category
Closed
License
Citation
Renold, M., Kalić, M., Dožić, S., Kukić, K., & Babić, D. (2023). Prediction of all-causes of airline delays at Zurich airport based on decision tree. Transportation Research Procedia, 1–8. https://irf.fhnw.ch/handle/11654/56288