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Complex Systems and Complexity Science >

2016 , Vol. 13 >Issue 2: 22 - 26

DOI: https://doi.org/10.13306/j.1672-3813.2016.02.003

Human Experiments for Optimizing Obstacles Settings in a Crowd System

  • LI Jingyu ,
  • JIANG Li ,
  • SHEN Chao ,
  • YU Chen ,
  • HAN Zhangang ,
  • LI Jingyu ,
  • JIANG Li ,
  • SHEN Chao ,
  • YU Chen ,
  • HAN Zhangang
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  • 1.School of Systems Science, Beijing Normal University, Beijing 100875, China;
    2.Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China;
    3.College of Information Systems and Management, National University of Denfense Technology, Hunan 410073, China;
    4.College of Water Sciences, Beijing Normal University, Beijing 100875, China

Received date: 2014-10-25

  Revised date: 2015-01-16

  Online published: 2025-02-25

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Abstract

Based on what the previous studies did before, the researchers carry out human experiments to analyze the process of evacuation and the optimization of obstacles settings, thus providing theoretical support to improve the efficiency of evacuation in a panic situation. The experimental videos provides us peculiar phenomena during the evacuation, for instance, three individuals crowding together can block the exit and the evacuation process seems to be periodically fluctuated. By comparing experiments differentiated by the obstacle settings, the paper concludes that a reasonable placement of obstacles can improve the efficiency of evacuation, and that setting two obstacles is better than one. Furthermore, crowding is partly alleviated by the placement of obstacles, so that the evacuation process could become more stable, more orderly, thereby the efficiency of the evacuation is better.

Key words： crowd system; human experiments; obstacles settings; evacuation speed

Cite this article

LI Jingyu , JIANG Li , SHEN Chao , YU Chen , HAN Zhangang , LI Jingyu , JIANG Li , SHEN Chao , YU Chen , HAN Zhangang . Human Experiments for Optimizing Obstacles Settings in a Crowd System[J]. Complex Systems and Complexity Science, 2016 , 13(2) : 22 -26 . DOI: 10.13306/j.1672-3813.2016.02.003

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