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Constrained Linear Movement Model (CALM): Simulation of passenger movement in airplanes

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  • Mehran Sadeghi Lahijani
  • Tasvirul Islam
  • Ashok Srinivasan
  • Sirish Namilae

Abstract

Pedestrian dynamics models the walking movement of individuals in a crowd. It has recently been used in the analysis of procedures to reduce the risk of disease spread in airplanes, relying on the SPED model. This is a social force model inspired by molecular dynamics; pedestrians are treated as point particles, and their trajectories are determined in a simulation. A parameter sweep is performed to address uncertainties in human behavior, which requires a large number of simulations. The SPED model’s slow speed is a bottleneck to performing a large parameter sweep. This is a severe impediment to delivering real-time results, which are often required in the course of decision meetings, especially during emergencies. We propose a new model, called CALM, to remove this limitation. It is designed to simulate a crowd’s movement in constrained linear passageways, such as inside an aircraft. We show that CALM yields realistic results while improving performance by two orders of magnitude over the SPED model.

Suggested Citation

  • Mehran Sadeghi Lahijani & Tasvirul Islam & Ashok Srinivasan & Sirish Namilae, 2020. "Constrained Linear Movement Model (CALM): Simulation of passenger movement in airplanes," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-14, March.
  • Handle: RePEc:plo:pone00:0229690
    DOI: 10.1371/journal.pone.0229690
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    References listed on IDEAS

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    1. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    2. Wald, Andrew & Harmon, Mark & Klabjan, Diego, 2014. "Structured deplaning via simulation and optimization," Journal of Air Transport Management, Elsevier, vol. 36(C), pages 101-109.
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