Exploratory Data Analysis for Airline Disruption Management
Kolawole Ogunsina,
Ilias Bilionis,
Daniel DeLaurentis
Abstract:Reliable platforms for data collation during airline schedule operations have significantly increased the quality and quantity of available information for effectively managing airline schedule disruptions. To that effect, this paper applies macroscopic and microscopic techniques by way of basic statistics and machine learning, respectively, to analyze historical scheduling and operations data from a major airline in the United States. Macroscopic results reveal that majority of irregular operations in airline… Show more
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