Modeling of Pedestrian Counter Flow in Corridors with Different Barriers

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An improved cellular automata model is proposed to study the pedestrian counter flow in corridors with different placements of barriers. The model considers the sensing region, collision avoidance, following, position exchange, and other common pedestrian behaviors. The sensing region here considers not only the number of pedestrians, but also their distances, velocities, both of which affect pedestrians’ transition probabilities. For example, when confronting with opposite pedestrians in high speed, the pedestrian may prefer to slow down or change the original direction. In the model, the pedestrians can change their velocities according to different situations. Simulations are conducted with the proposed model and the effect of different placements of barriers in corridors is studied in detail. The flow rates in different situations are compared, and it is found that certain placements of barriers can obviously improve the corridor’s pedestrian capacity, which may contribute to corridor design in the future.

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1685-1689

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October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] M. Muramatsu, T. Irie, T. Nagatani, Jamming transition in pedestrian counter flow, Physica A: Statistical Mechanics and its Applications 267 (1999) 487-498.

DOI: 10.1016/s0378-4371(99)00018-7

Google Scholar

[2] Y. Tajima, T. Nagatani, Clogging transition of pedestrian flow in T-shaped channel, Physica A: Statistical Mechanics and its Applications 303 (2002) 239-250.

DOI: 10.1016/s0378-4371(01)00424-1

Google Scholar

[3] Y. Tajima, K. Takimoto, T. Nagatani, Pattern formation and jamming transition in pedestrian counter flow, Physica A: Statistical Mechanics and its Applications 313 (2002) 709-723.

DOI: 10.1016/s0378-4371(02)00965-2

Google Scholar

[4] Y.F. Yu, W.G. Song, Cellular automaton simulation of pedestrian counter flow considering the surrounding environment, Physical Review E 75 (2007) 046112.

DOI: 10.1103/physreve.75.046112

Google Scholar

[5] J. Ma, Study of the behavioral mechanism of self-organized pedestrian counter flow, (2010).

Google Scholar

[6] J. Ma, W. Song, J. Zhang, S. Lo, G. Liao, k-Nearest-Neighbor interaction induced self-organized pedestrian counter flow, Physica A: Statistical Mechanics and its Applications 389 (2010) 2101-2117.

DOI: 10.1016/j.physa.2010.01.014

Google Scholar

[7] L. Xiang, D. Xiao-Yin, D. Li-Yun, Self-organized phenomena of pedestrian counter flow in a channel under periodic boundary condition, (2012).

Google Scholar

[8] A. Kirchner, H. Klüpfel, K. Nishinari, A. Schadschneider, M. Schreckenberg, Discretization effects and the influence of walking speed in cellular automata models for pedestrian dynamics, Journal of Statistical Mechanics: Theory and Experiment 2004 (2004).

DOI: 10.1088/1742-5468/2004/10/p10011

Google Scholar

[9] W.G. Weng, T. Chen, H.Y. Yuan, W.C. Fan, Cellular automaton simulation of pedestrian counter flow with different walk velocities, Physical Review E 74 (2006) 036102.

DOI: 10.1103/physreve.74.036102

Google Scholar

[10] L. Jian, Y. Lizhong, Z. Daoliang, Simulation of bi-direction pedestrian movement in corridor, Physica A: Statistical Mechanics and its Applications 354 (2005) 619-628.

DOI: 10.1016/j.physa.2005.03.007

Google Scholar

[11] Information on http: /ped-net. org/index. php?id=20&ID=377.

Google Scholar