Characterization and prediction of air traffic delays

Transportation Research Part C: Emerging Technologies

Volumn 44, Issue , 2014, Pages 231-241

  Rebollo, Juan Jose ^a   Balakrishnan, Hamsa ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Air traffic delay prediction; Classification; K Means clustering; Network effects; Random forests; Regression

Indexed keywords

AVIATION; CLASSIFICATION (OF INFORMATION); DECISION TREES; K-MEANS CLUSTERING; PREDICTIVE ANALYTICS; RANDOM FORESTS;

AIR TRAFFIC DELAYS; EXPLANATORY VARIABLES; NATIONAL AIRSPACE SYSTEM; NETWORK EFFECTS; ORIGIN-DESTINATION PAIRS; PREDICTION PERFORMANCE; RANDOM FOREST ALGORITHM; REGRESSION;

FORECASTING;

AIR TRAFFIC CONTROL; ALGORITHM; CLUSTER ANALYSIS; ERROR ANALYSIS; FORECASTING METHOD; NETWORK ANALYSIS; PREDICTION; RANDOM WALK METHOD; REGRESSION ANALYSIS; AIR TRANSPORTATION; CLASSIFICATION; MODELING; TRAFFIC MANAGEMENT;

EID: 84900321262     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2014.04.007     Document Type: Article

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