• DocumentCode
    2557339
  • Title

    Simulation of pedestrian evacuation from room with internal obstacles

  • Author

    Yue, Hao ; Zhang, Xu ; Shao, Chunfu ; Li, Qi

  • Author_Institution
    MOE Key Lab. for Urban Transp. Complex Syst. Theor. & Technol., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1233
  • Lastpage
    1237
  • Abstract
    A simulation of pedestrian evacuation from room with internal obstacles is presented based on an improved Dynamic Parameter Model (DPM) in the paper. In order to reduce evacuation imbalance caused by the asymmetry of obstacles layout, a special technology is introduced to compute the shortest estimated distance from anyone cell site to exits in room, which determines two basic dynamic parameter: direction-parameter and empty-parameter. Actual and imaginary distances are merged into the shortest estimated distance through considering the effects of pedestrian jam around obstacles on evacuation path selection. The pedestrian evacuation flows with single exit and multi-exit are simulated under different obstacles layouts from two aspects: with fixed and unfixed initialization site. It is observed that improved model can effectively reduce evacuation imbalance.
  • Keywords
    pedestrians; simulation; DPM; direction-parameter; dynamic parameter model; empty-parameter; evacuation imbalance reduction; evacuation path selection; internal obstacles; multi exit; obstacles layout asymmetry; pedestrian evacuation flows; pedestrian jam; pedestrian room evacuation simulation; shortest estimated distance computation; single exit; Automata; Computational modeling; Educational institutions; Fasteners; Floors; Layout; Visualization; Cellular automata; Dynamic parameters; Evacuation obstacle; Pedestrian evacuation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2012 Eighth International Conference on
  • Conference_Location
    Chongqing
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4577-2130-4
  • Type

    conf

  • DOI
    10.1109/ICNC.2012.6234566
  • Filename
    6234566