Cellular Model of Room Evacuation Based on Occupancy and Movement Prediction: Comparison with Experimental Study

The rule-based CA for simulating the evacuation process of single room with one exit is presented. Analogically to the Floor-Field model, the presented model is based on the movement on rectangular lattice, driven by the potential field generated by the exit. Several ideas of decision-making allowing the agent to choose an occupied cell are implemented, to reflect the observed behaviour in high densities. The velocity of pedestrians is represented by the updating frequency of the individuals. To calibrate model parameters, an experiment “leaving the room” was organized. Based on the observed behaviour, the influence of parameters is discussed and several modifications are suggested.

[1]  Debashish Chowdhury,et al.  Stochastic Transport in Complex Systems: From Molecules to Vehicles , 2010 .

[2]  Teresa L. Young,et al.  The F.A.S.T. Model , 2007 .

[3]  Tobias Kretz,et al.  Pedestrian Traffic - Simulation and Experiments , 2007 .

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

[5]  Standort Duisburg,et al.  A Cellular Automaton Model for Crowd Movement and Egress Simulation , 2003 .

[6]  Daichi Yanagisawa,et al.  Anticipation effect in pedestrian dynamics: Modeling and experiments , 2012 .

[7]  Michael Schultz,et al.  A discrete microscopic model for pedestrian dynamics to manage emergency situations in airport terminals , 2007 .

[8]  Andreas Schadschneider,et al.  Empirical Results for Pedestrian Dynamics and their Implications for Cellular Automata Models , 2009 .

[9]  Georgios Ch. Sirakoulis,et al.  A Cellular Automaton Model for Crowd Evacuation and Its Auto-Defined Obstacle Avoidance Attribute , 2010, ACRI.

[10]  B. Steffen,et al.  A Modification of the Social Force Model by Foresight , 2009, 0912.0634.

[11]  E. F. Codd,et al.  Cellular automata , 1968 .

[12]  Hubert Ludwig Kluepfel,et al.  A Cellular automaton model for crowd movement and egress simulation , 2003 .

[13]  Katsuhiro Nishinari,et al.  Simulation for pedestrian dynamics by real-coded cellular automata (RCA) , 2007 .

[14]  Tony White,et al.  Macroscopic effects of microscopic forces between agents in crowd models , 2007 .

[15]  Michael Schreckenberg,et al.  Models for Crowd Movement and Egress Simulation , 2005 .

[16]  Andreas Schadschneider,et al.  Extended Floor Field CA Model for Evacuation Dynamics , 2004, IEICE Trans. Inf. Syst..

[17]  Harry Timmermans.  Pedestrian Behavior:Models, Data Collection and Applications , 2009 .

[18]  Michael Schreckenberg,et al.  Counterflow Extension for the F.A.S.T.-Model , 2008, ACRI.

[19]  Andreas Schadschneider,et al.  Phase Coexistence in Congested States of Pedestrian Dynamics , 2010, ACRI.

[20]  Evacuation Dynamics,et al.  Pedestrian and evacuation dynamics 2005 , 2007 .

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

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