Characterization and prediction of air traffic delays
This paper presents a new class of models for predicting air traffic delays. The proposed models consider both temporal and spatial (that is, network) delay states as explanatory variables, and use Random Forest algorithms to predict departure delays 2–24 h in the future. In addition to local delay...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Elsevier
2017
|
| Online Access: | http://hdl.handle.net/1721.1/111158 https://orcid.org/0000-0002-8624-7041 |