Toward Smooth Movement of Crowds

“Jamology” is an interdisciplinary research of all sorts of jams, e.g. those of vehicles, pedestrians, ants, etc. Our model of pedestrians, called the floor field model, is based on this study, and it is a two-dimensional generalization of an ant trail model. It is a rule-based cellular automaton model, and efficient in computations since the long-range interaction between pedestrians is imitated by the memory of the floor of only neighboring cells. Recently several generalizations of this model are proposed to make the model more realistic. We use an extended model to study how to make crowd movement smooth. Not only computer simulations but also experiments are shown in this paper. Introduction of pedestrians’ anticipation into the model affects the crowd movement significantly, and leads the counterflow smooth. Moreover it is clearly shown experimentally that evacuation dynamics near a bottleneck becomes smooth if we put an obstacle at a suitable place.

[1]  A. Schadschneider,et al.  Statistical physics of vehicular traffic and some related systems , 2000, cond-mat/0007053.

[2]  Debashish Chowdhury,et al.  A cellular-automata model of flow in ant trails: non-monotonic variation of speed with density , 2002 .

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

[4]  A. Tomoeda,et al.  An information-based traffic control in a public conveyance system: Reduced clustering and enhanced efficiency , 2007, 0704.1555.

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

[6]  Michael Schreckenberg,et al.  Pedestrian and evacuation dynamics , 2002 .

[7]  D. Wolf,et al.  Traffic and Granular Flow , 1996 .

[8]  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.

[9]  Daichi Yanagisawa,et al.  Conflicts at an Exit in Pedestrian Dynamics , 2010 .

[10]  Daichi Yanagisawa,et al.  Mean-field theory for pedestrian outflow through an exit. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[11]  Katsuhiro Nishinari,et al.  Physics of Transport and Traffic Phenomena in Biology: from molecular motors and cells to organisms , 2005 .

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

[13]  Debashish Chowdhury,et al.  Self-organized patterns and traffic flow in Colonies of organisms: from bacteria and social insects to vertebrates , 2004, q-bio/0401006.

[14]  Li Jian,et al.  Simulation of bi-direction pedestrian movement in corridor , 2005 .

[15]  A. Schadschneider,et al.  Intracellular transport of single-headed molecular motors KIF1A. , 2005, Physical review letters.

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

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

[18]  Dirk Helbing,et al.  Network-induced oscillatory behavior in material flow networks and irregular business cycles. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

[20]  Michel Bierlaire,et al.  Discrete Choice Models for Pedestrian Walking Behavior , 2006 .

[21]  D. Helbing Traffic and related self-driven many-particle systems , 2000, cond-mat/0012229.

[22]  D. Helbing,et al.  Analytical approach to continuous and intermittent bottleneck flows. , 2006, Physical review letters.

[23]  K. Nishinari,et al.  Collective Traffic-like Movement of Ants on a Trail: Dynamical Phases and Phase Transitions , 2004 .