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Structured deplaning via simulation and optimization
Affiliation:1. Imperial College London, Centre for Transport Studies, Department of Civil and Environmental Engineering, South Kensington Campus, London SW7 2AZ, United Kingdom;2. EUROCONTROL Maastricht Upper Area Control Centre, Horsterweg 11, 6199 AC Maastricht Airport, The Netherlands;1. Coskata, Warrenville, IL, USA;2. University of Miami, Miami, FL, USA;3. Department of Chemical and Materials Engineering, University of Kentucky, Lexington, KY, USA
Abstract:Deplaning naturally occurs row by row down the length of an aircraft. Using simulation and optimization, we design deplaning strategies (e.g., deplane by group and/or column) that significantly reduce the overall unstructured deplaning time. The evaluations derived from a combination of optimization and simulation were tested across several equipment types using data gathered through field observations for calibration.
Keywords:Deboarding  Airline  Optimization  Stochastic  Genetic algorithm
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