期刊文献+

拥挤系统阻碍物设置的真人行为实验研究 被引量:1

Human Experiments for Optimizing Obstacles Settings in a Crowd System
下载PDF
导出
摘要 开展真人行为实验,研究拥挤人群疏散行为及阻碍物的优化设置,旨在为提高恐慌下人群疏散效率提供理论支持。观察实验视频,发现拥挤人群疏散所特有的现象,包括距离出口最近处三人挤压即可堵住出口,人群疏散过程呈现出一定的周期波动性等。对比有无阻碍物时人群疏散速度得出,在房间内合理设置阻碍物有利于提高人群疏散效率,并且设置两个阻碍物优于设置一个阻碍物。此外,阻碍物的设置有助于减轻人群在出口处的拥挤程度,使得疏散过程变得更加平稳有序,从而提高了疏散效率。 Based on what the previous studies did before, the researchers carry out human experi- ments to analyze the process of evacuation and the optimization of obstacles settings, thus provi- ding theoretical support to improve the efficiency of evacuation in a panic situation. The experi- mental videos provides us peculiar phenomena during the evacuation, for instance, three individu- als crowding together can block the exit and the evacuation process seems to be periodically fluc- tuated. 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 efficieney of the evacuation is better.
出处 《复杂系统与复杂性科学》 EI CSCD 北大核心 2016年第2期22-26,共5页 Complex Systems and Complexity Science
基金 国家自然科学基金(61074116 61374165)
关键词 拥挤系统 真人行为实验 阻碍物设置 疏散速度 crowd system human experiments obstacles settings evacuation speed
  • 相关文献

参考文献8

  • 1孙剑,李克平.行人运动建模及仿真研究综述[J].计算机仿真,2008,25(12):12-16. 被引量:20
  • 2Helbing D. A Mathematical model for the behavior of pedestrians[J]. Behavioral Science (S0005 - 7940) ,1991,36(3) :298 - 310.
  • 3Helbing D,Molnar P. Social force model for pedestrian dynamics[J]. Physical Review E (S1063 - 651X), 1995,51(4) :4282 - 4286.
  • 4Helbing D, Vicsek T. Optimal self-organization [J]. New Journal of Physics(S1367 - 2630), 1999, 1(13) : 1 - 13, 17.
  • 5Helbing D, Farkas I, Vicsek T. Simulating dynamical features of escape panic[J]. Nature, 2000, 407 (6803) : 487 - 490.
  • 6Escobar R, De La Rosa A. Architectural design for the survival optimization of panicking fleeing victims[J]. Advances in Artificial Life, 2003:97 - 106.
  • 7Johansson A, Helbing D. Pedestrian flow optimization with a genetic algorithm based on Boolean grids[J]. Pedestrian and Evacuation Dynamics 2005,2007:267 - 272.
  • 8Jiang L, Li J, Shen C, et al. Obstacle optimization for panic flow-reducing the tangential momentum increases the escape speed[J]. Plos One. 2014.

二级参考文献25

  • 1Lizhong Yang,Weifeng Fang,Rui Huang,Zhihua Deng.Occupant evacuation model based on cellular automata in fire[J].Chinese Science Bulletin,2002,47(17):1484-1488. 被引量:16
  • 2宋卫国,于彦飞,范维澄,张和平.一种考虑摩擦与排斥的人员疏散元胞自动机模型[J].中国科学(E辑),2005,35(7):725-736. 被引量:69
  • 3Bierlaire, M. , Antonini, G. and Weber, M. Behavioral dynamics for pedestrians[ C ]. 10th International Conference on Travel Behavior Research. Lucerne, August 2003 : 10 - 15.
  • 4Roger L. Hughes, A continuum theory for the flow of pedestrians [ J], Transportation Research Part B 36, 2002:507 - 535.
  • 5Serge P Hoogendoom, Piet H L Bovy. Pedestrian Travel Behavior Modeling [ J ]. Networks and Spatial Economies, 2005,5 : 193 - 216.
  • 6Gianluca Antonini, Michel Bierlaire. Discrete choice models of pedestrian walking behavior [ J ]. Transportation Research Part B, 40, 2006. 667 - 687.
  • 7S M Olenick & D J Carpenter. Updated International Survey of Computer Models for Fire and Smoke [ J ]. Journal of Fire Protection Engineering, 2003, ( 13 ) :87 - 110.
  • 8C Burstedde, K Klauck, A Schadschneider, J Zittartz. Simulation of pedestrian dynamics using a two - dimensional cellular automaton[J]. Physica A 295,2001. 507 - 525.
  • 9Victor J Blue, Jeffrey L Adler. Cellular automata micro simulation for modeling bi - directional pedestrian walkways[ J]. Transportation Research Part B 35, 2004. 293 -312.
  • 10Matsushita and Okazaki. A study of Simulation Model for Way Finding Behavior by Experiments in Mazes[ J]. Journal of Architecture, Planning. Environment Engineering. AIJ, 1997, (429) : 51 -59.

共引文献19

同被引文献1

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部