Analysis of Airplane Boarding Times

  • Authors:
  • Eitan Bachmat;Daniel Berend;Luba Sapir;Steven Skiena;Natan Stolyarov

  • Affiliations:
  • Department of Computer Science, Ben-Gurion University, Beer-Sheva 84105, Israel;Departments of Mathematics and Computer Science, Ben-Gurion University, Beer-Sheva 84105, Israel;Department of Applied Mathematics, Holon Institute of Technology, and Department of Industrial Engineering and Management, Ben-Gurion University, Beer-Sheva 84105, Israel;Department of Computer Science, SUNY at Stony Brook, Stony Brook, New York 11794;Department of Computer Science, Ben-Gurion University, Beer-Sheva 84105, Israel

  • Venue:
  • Operations Research
  • Year:
  • 2009

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Abstract

We model and analyze the process of passengers boarding an airplane. We show how the model yields closed-form estimates for the expected boarding time in many cases of interest. Comparison of our computations with previous work, based on discrete-event simulations, shows a high degree of agreement. Analysis of the model reveals a clear link between the efficiency of various airline boarding policies and a congestion parameter that is related to interior airplane design parameters, such as distance between rows. In particular, as congestion increases, random boarding becomes more attractive among row-based policies.