Staircase evacuation modeling and its comparison with an egress drill

Abstract We study an evacuation process of a four-story building by means of an egress drill and simulations. The evacuation in the staircase is much different from that in flat areas in the building because of some special characteristics, for example, the twisting and descending passageway; the interflow of crowds at the joint of staircase and hallway; the turning behavior at the turning point between two flights. Considering the characteristics of human behavior and staircase structure, we develop an improved multi-grid model for the staircase evacuation. For a finer discretization of space, the key size of structures and boundaries are figured more accurately, and what is more, the rectangular body size, various walking speed in different densities, turning behavior of pedestrians are taken into account in the model. It is found that the interflow between the new entrance students from the hallway and students from upper staircase leads to a congestion in the buffer area which slows down the crowd speed. This area is just the bottleneck of the staircase evacuation. The simulation results are compared with the egress drill data, and there is close agreement between them. It implies that the composed model is reasonable and can be used to quantify staircase egress behaviors.

[1]  T. Nagatani,et al.  Scaling behavior of crowd flow outside a hall , 2001 .

[2]  Jian Li,et al.  Simulation of the kin behavior in building occupant evacuation based on Cellular Automaton , 2005 .

[3]  Andreas Schadschneider,et al.  Friction effects and clogging in a cellular automaton model for pedestrian dynamics. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  W. Weng,et al.  Cellular automaton simulation of pedestrian counter flow with different walk velocities. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  Serge P. Hoogendoorn,et al.  Pedestrian Behavior at Bottlenecks , 2005, Transp. Sci..

[6]  Akihiro Nakayama,et al.  Instability of pedestrian flow and phase structure in a two-dimensional optimal velocity model. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  M. Schreckenberg,et al.  Experimental study of pedestrian flow through a bottleneck , 2006, physics/0610077.

[8]  Takashi Nagatani,et al.  Experiment and simulation for counterflow of people going on all fours , 2005 .

[9]  M. Schreckenberg,et al.  Experimental study of pedestrian counterflow in a corridor , 2006, cond-mat/0609691.

[10]  T. Nagatani,et al.  Statistical characteristics of evacuation without visibility in random walk model , 2004 .

[11]  Bing-Hong Wang,et al.  Simulation of evacuation processes using a multi-grid model for pedestrian dynamics , 2006 .

[12]  Takashi Nagatani,et al.  Jamming transition in counter flow of slender particles on square lattice , 2006 .

[13]  T. Nagatani,et al.  Experiment and simulation of pedestrian counter flow , 2004 .

[14]  Dirk Helbing,et al.  Experiment, theory, and simulation of the evacuation of a room without visibility. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[15]  A. Schadschneider,et al.  Discretization effects and the influence of walking speed in cellular automata models for pedestrian dynamics , 2004 .

[16]  Hongyong Yuan,et al.  Small-grid analysis of discrete model for evacuation from a hall , 2007 .

[17]  Michael Schreckenberg,et al.  Characterizing correlations of flow oscillations at bottlenecks , 2006, ArXiv.

[18]  Huili Tan,et al.  CELLULAR AUTOMATON SIMULATION OF THE ESCAPING PEDESTRIAN FLOW IN CORRIDOR , 2005 .

[19]  Lubos Buzna,et al.  Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions , 2005, Transp. Sci..

[20]  A. Schadschneider,et al.  Simulation of pedestrian dynamics using a two dimensional cellular automaton , 2001 .

[21]  Dirk Helbing,et al.  Dynamics of crowd disasters: an empirical study. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  Andreas Schadschneider,et al.  Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics , 2002 .

[23]  Takashi Nagatani,et al.  Evacuation of crawlers and walkers from corridor through an exit , 2006 .

[24]  Takashi Nagatani,et al.  Sidle effect on pedestrian counter flow , 2007 .

[25]  Helbing,et al.  Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[26]  T. Nagatani,et al.  Jamming transition in pedestrian counter flow , 1999 .

[27]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[28]  Dirk Helbing,et al.  Dynamics of Crowd Disasters; ; Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics; , 2007 .

[29]  D. Helbing,et al.  Lattice gas simulation of experimentally studied evacuation dynamics. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.