• Chinese Physics B
  • Vol. 29, Issue 8, (2020)
Wei-Li Wang1、†, Fang-Fang Wan1, and Siu-Ming Lo2
Author Affiliations
  • 1Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 20306, China
  • 2Department of Architecture and Civil Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China
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    DOI: 10.1088/1674-1056/ab973a Cite this Article
    Wei-Li Wang, Fang-Fang Wan, Siu-Ming Lo. Game theory model of exit selection in pedestrian evacuation considering visual range and choice firmness[J]. Chinese Physics B, 2020, 29(8): Copy Citation Text show less
    Moore neighborhood: (a) possible moving directions for a pedestrian in the occupied cell, and (b) corresponding probabilities for the pedestrian in the occupied cell to update his/her position.
    Fig. 1. Moore neighborhood: (a) possible moving directions for a pedestrian in the occupied cell, and (b) corresponding probabilities for the pedestrian in the occupied cell to update his/her position.
    Visual field of the pedestrian.
    Fig. 2. Visual field of the pedestrian.
    Room exit settings: (a) on the counter sides, (b) on the adjacent sides, (c) on the same side.
    Fig. 3. Room exit settings: (a) on the counter sides, (b) on the adjacent sides, (c) on the same side.
    Initial distributions of pedestrians: (a) random distribution and (b) cluster distribution.
    Fig. 4. Initial distributions of pedestrians: (a) random distribution and (b) cluster distribution.
    Plots of evacuation time of pedestrians against visual radius under different choice firmness levels, showing (a) random distribution and (b) cluster distribution.
    Fig. 5. Plots of evacuation time of pedestrians against visual radius under different choice firmness levels, showing (a) random distribution and (b) cluster distribution.
    Movement trajectories of pedestrian with R = 5 m under different choice firmness levels, showing (a) random distribution, α = 0; (b) random distribution, α = 0.2; (c) cluster distribution, α = 0; and (d) cluster distribution, α = 0.2.
    Fig. 6. Movement trajectories of pedestrian with R = 5 m under different choice firmness levels, showing (a) random distribution, α = 0; (b) random distribution, α = 0.2; (c) cluster distribution, α = 0; and (d) cluster distribution, α = 0.2.
    Simulation snapshots of evacuation process under choice firmness level α = 0 (a) and α = 0.2 (b) at T = 80 when pedestrians initially distribute in cluster.
    Fig. 7. Simulation snapshots of evacuation process under choice firmness level α = 0 (a) and α = 0.2 (b) at T = 80 when pedestrians initially distribute in cluster.
    Evacuation performances of pedestrians under different initial distributions, showing (a) evacuation times of pedestrians against the visual radius under different initial crowd distributions, (b) percentages of pedestrians using each exit in random distribution, and (c) percentages of pedestrians using each exit in cluster distribution.
    Fig. 8. Evacuation performances of pedestrians under different initial distributions, showing (a) evacuation times of pedestrians against the visual radius under different initial crowd distributions, (b) percentages of pedestrians using each exit in random distribution, and (c) percentages of pedestrians using each exit in cluster distribution.
    Simulation snapshots of pedestrian evacuation process under visual radius R = 0 m (a), R = 4 m (b), and R = 12 m (c).
    Fig. 9. Simulation snapshots of pedestrian evacuation process under visual radius R = 0 m (a), R = 4 m (b), and R = 12 m (c).
    Evacuation times of pedestrians against visual radius under different exit layouts: (a) α = 0, (b) α = 0.1, (c) α = 0.15, and (d) α = 0.2.
    Fig. 10. Evacuation times of pedestrians against visual radius under different exit layouts: (a) α = 0, (b) α = 0.1, (c) α = 0.15, and (d) α = 0.2.
    Evacuation times of pedestrians against visual radius for different exit widths in the cases: (a) random distribution and (b) cluster distribution.
    Fig. 11. Evacuation times of pedestrians against visual radius for different exit widths in the cases: (a) random distribution and (b) cluster distribution.
    Wei-Li Wang, Fang-Fang Wan, Siu-Ming Lo. Game theory model of exit selection in pedestrian evacuation considering visual range and choice firmness[J]. Chinese Physics B, 2020, 29(8):
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