Towards a Prediction Engine for Flight Delays based on Weather Analysis

Cristina Cabanillas, Enver Campara, Claudio Di Ciccio, Bartholomäus Koziel, Jan Mendling, Johannes Paulitschke, Johannes Prescher

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In our work, we investigate in how far weather conditions have an actual impact on the punctuality of a flight. Following up on the insights gained in this step, we determine categories of impacts to allow for more generalisation. Subsequently, we use the categories and apply them in a prediction model. We fill the model with historical data. Accordingly, the model and corresponding data are the foundation for live predictions on actual flights. Our investigation indicates that the conditions' impact increases significantly once they appear closer to the airports. It identifies four weather conditions which have a significant impact on flights. These conditions lead to different lenghts of delay, which are considered within the linear equitation to predict the delays for prospective flights.
Original languageEnglish
Title of host publicationJoint Proceedings of the 1st International Workshop on Modeling Inter-Organizational Processes and 1st International Workshop on Event Modeling and Processing in Business Process Management co-located with Modellierung 2014, Vienna, Austria, March 19, 2014.
EditorsAnne Baumgraß, Nico Herzberg, Gerti Kappel, Jan Mendling, Andreas Meyer, Stefanie Rinderle-Ma
PublisherCEUR-WS.org
Pages49-51
Number of pages3
Volume1185
Publication statusPublished - Mar 2014

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS.org

Keywords

  • Flight delay prediction
  • Aircraft
  • Prediction model
  • Weather
  • Data acquisition

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