Clustering Days and Hours with Similar Airport Traffic and Weather Conditions
Author:
Affiliation:
1. Systems Modeling and Optimization Branch, NASA Ames Research Center, Moffett Field, California 94035-1000
2. University of California, Santa Cruz, Moffett Field, California 94035-1000
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Aerospace Engineering
Link
http://arc.aiaa.org/doi/pdf/10.2514/1.I010212
Reference17 articles.
1. Classification of Days Using Weather Impacted Traffic in the National Airspace System
2. Hierarchical Grouping to Optimize an Objective Function
3. Similar Days in the NAS: an Airport Perspective
4. Characterization of Days Based on Analysis of National Airspace System Performance Metrics
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