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Reducing airplane boarding time by accounting for passengers' individual properties: A simulation based on cellular automaton
Institution:1. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;2. College of Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA;3. School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei 230009, China
Abstract:The increase of air travel puts tremendous burden on airline companies. A time saving boarding strategy is required to improve the utilization of airplane boarding time and explore flexible time management strategies. Firstly, an improved boarding strategy is introduced by assigning individual passengers to seats based on the number of luggage they carry. Passengers with the most luggage board onto the plane first. To test the behavior of boarding strategies under different conditions, a sophisticated simulation environment based on cellular automata model is designed. Simulation results indicate that the improved boarding strategy shows an excellent efficiency and robustness comparing with other strategies.
Keywords:Airplane boarding  Cellular automaton  Boarding strategies  Interferences  Robustness
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