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A fine discrete floor field cellular automaton model with natural step length for pedestrian dynamics

  • Sensen Xing
  • , Cheng Wang
  • , Wei Wang
  • , Rui Feng Cao
  • , Anthony Chun Yin Yuen
  • , Eric Wai Ming Lee
  • , Guan Heng Yeoh
  • , Qing Nian Chan*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

61 Downloads (CityUHK Scholars)

Abstract

This paper proposes an extended floor field cellular automaton (FFCA) model for evacuation simulations, which integrates the natural step length into pedestrian movement. The model enables pedestrians to occupy multiple grids and extends the interaction area to a disk with a radius determined by the natural step length. These modifications facilitate pedestrian movement in various directions, limited only by the chosen numerical resolution. The model is calibrated to reproduce known density-velocity relations by simulating different evacuation scenarios. The flow rate through the bottleneck scenario matches the experimental results very well. Interestingly, the evacuation time, crowd shape near the exit and average conflict frequency are found to be independent of the discretisation degree, which is different from previous work. Compared with the traditional FFCA model, the proposed model yields larger and more reasonable velocity variation and evacuation path. The main parameters have a similar influence on the evacuation time, indicating that the proposed model retains the robustness of the traditional FFCA model. © 2023 The Authors
Original languageEnglish
Article number102841
Number of pages21
JournalSimulation Modelling Practice and Theory
Volume130
Online published6 Oct 2023
DOIs
Publication statusPublished - Jan 2024

Research Keywords

  • Crowd evacuation
  • Fine-grid model
  • Floor field model
  • Natural step length

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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