题名: |
Traffic Flow Management: Data Mining Update. |
作者: |
Grabbe, S. R. |
关键词: |
Air Traffic Control; Airports; Airspace; Data Mining; Data Reduction; Decision Support Systems; Delay; Machine Learning; National Airspace System; Routes; Weather |
摘要: |
This presentation provides an update on recent data mining efforts that have been designed to (1) identify like/similar days in the national airspace system, (2) cluster/aggregate national-level rerouting data and (3) apply machine learning techniques to predict when Ground Delay Programs are required at a weather-impacted airport. |
报告类型: |
科技报告 |