Subconscious Effect on Pedestrian Counter Flow

We propose an extended lattice gas model with different maximum velocities to simulate pedestrian counter flow by considering the subconscious behaviour of walkers. Four types of walkers including faster right walkers, slower right walkers, faster left walkers and slower left walkers are involved in the simulation. The simulation results show that our model can capture some essential features of pedestrian counter flows, such as the lane formation, segregation effect and phase separation at higher densities. We also find that the subconscious effect can reduce the occurrence of jam cluster evidently compared with the case of un-subconscious effect. At large maximum velocity, the critical density corresponding to the maximum flow rate of the fundamental diagram is in good agreement with the empirical results.

[1]  Y. F. Yu,et al.  Cellular automaton simulation of pedestrian counter flow considering the surrounding environment. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

[3]  S. Dai,et al.  Centrifugal force model for pedestrian dynamics. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  Vicsek,et al.  Freezing by heating in a driven mesoscopic system , 1999, Physical review letters.

[5]  T. Nagatani,et al.  Clogging transition of pedestrian flow in T-shaped channel , 2002 .

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

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

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

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

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

[11]  Fan Weicheng,et al.  Simulation of bi-direction pedestrian movement using a cellular automata model , 2003 .

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

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

[14]  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.

[15]  Takashi Nagatani,et al.  Volatile jam and flow fluctuation in counter flow of slender particles , 2007 .

[16]  W. Song,et al.  Effect of traffic rule breaking behavior on pedestrian counterflow in a channel with a partition line. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  Takashi Nagatani,et al.  Effect of partition line on jamming transition in pedestrian counter flow , 2002 .

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

[19]  R. Jiang,et al.  Pedestrian behaviors in a lattice gas model with large maximum velocity , 2007 .

[20]  W. Weng,et al.  A behavior-based model for pedestrian counter flow , 2007 .

[21]  T. Nagatani.  The physics of traffic jams , 2002 .

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