Route choice in pedestrian evacuation: formulated using a potential field

A method for formulating the route choice behavior of pedestrians in evacuation in closed areas with internal obstacles is proposed. The method is implemented in a pedestrian model, in which the route choice is determined by the potential of discrete space. The potential measures the total effect of such factors affecting route choice as route distance, pedestrian congestion and route capacity. Using scenario simulations, the proposed method is compared with several existing methods. Simulation results indicate that the proposed method can simulate two classes of phenomena that cannot be reproduced accurately by those existing methods. In addition, two examples of inefficient evacuation as regards route choice are given. The two examples illustrate that, for improving the efficiency of evacuation, excessive or limited sensitivity of pedestrians to the route capacity may be unhelpful, and adding an extra route may be inefficient.

[1]  Siuming Lo,et al.  A game theory based exit selection model for evacuation , 2006 .

[2]  Tobias Kretz,et al.  Pedestrian traffic: on the quickest path , 2009, ArXiv.

[3]  Hai-Jun Huang,et al.  Static floor field and exit choice for pedestrian evacuation in rooms with internal obstacles and multiple exits. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  Serge P. Hoogendoorn,et al.  Simulation of pedestrian flows by optimal control and differential games , 2003 .

[5]  Dirk Hartmann,et al.  Adaptive pedestrian dynamics based on geodesics , 2010 .

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

[7]  Hui Zhao,et al.  Reserve capacity and exit choosing in pedestrian evacuation dynamics , 2010 .

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

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

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

[11]  R. Alizadeh,et al.  A dynamic cellular automaton model for evacuation process with obstacles , 2011 .

[12]  Guo Ren-Yong,et al.  Logit-based exit choice model of evacuation in rooms with internal obstacles and multiple exits , 2010 .

[13]  José Rogan,et al.  Cellular automaton model for evacuation process with obstacles , 2007 .

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

[15]  Harri Ehtamo,et al.  Modeling Evacuees' Exit Selection with Best Response Dynamics , 2010 .

[16]  Serge P. Hoogendoorn,et al.  Pedestrian route-choice and activity scheduling theory and models , 2004 .

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