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Exploring the Effects of Different Walking Strategies on Bi-Directional Pedestrian Flow

Author

Listed:
  • Lili Lu
  • Gang Ren
  • Wei Wang
  • Chen Yu
  • Chenzi Ding

Abstract

Three types of different walking behaviors (right preference, conformity, and space priority) are taken into account to model bi-directional pedestrian flow in the channel with cellular-automata formulation. The fundamental diagrams of -pedestrian flow, -pedestrian flow, and -pedestrian flow are obtained from the simulation result to analyze the effect of these behaviors on bi-direction flow. The -pedestrian flow has the minimum critical density and -pedestrian flow has the highest, while the -pedestrian flow has higher average-speed than other two types of pedestrian flow under the same density. Further, through the study of pedestrian distribution in the channel and the proportion of pedestrians not able to move to the front cell, reasons leading to different characteristics of these three types of pedestrian flow are analyzed. Moreover, the simulation experiment based on BehaviorSearch is designed to explore the optimal percentages of -pedestrian, -pedestrian, and -pedestrian in pedestrian flow. The result of the experiment shows that the condition that makes the highest average speed of pedestrian flow is not that pedestrian flow consists of purely one type of pedestrians, but pedestrian flow mixed with -pedestrians as majority and -pedestrians and -pedestrians as minority.

Suggested Citation

  • Lili Lu & Gang Ren & Wei Wang & Chen Yu & Chenzi Ding, 2013. "Exploring the Effects of Different Walking Strategies on Bi-Directional Pedestrian Flow," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-9, November.
    • Handle: RePEc:hin:jnddns:150513
    DOI: 10.1155/2013/150513
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    References listed on IDEAS

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    1. Weifeng, Fang & Lizhong, Yang & Weicheng, Fan, 2003. "Simulation of bi-direction pedestrian movement using a cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 321(3), pages 633-640.
    2. Yue, Hao & Guan, Hongzhi & Zhang, Juan & Shao, Chunfu, 2010. "Study on bi-direction pedestrian flow using cellular automata simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 527-539.
    3. Maniccam, S., 2005. "Effects of back step and update rule on congestion of mobile objects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 631-650.
    4. Blue, Victor J. & Adler, Jeffrey L., 2001. "Cellular automata microsimulation for modeling bi-directional pedestrian walkways," Transportation Research Part B: Methodological, Elsevier, vol. 35(3), pages 293-312, March.
    5. Tian, Huan-huan & He, Hong-di & Wei, Yan-fang & Yu, Xue & Lu, Wei-zhen, 2009. "Lattice hydrodynamic model with bidirectional pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2895-2902.
    6. Wang, Ziyang & Song, Bingxue & Qin, Yong & Jia, Limin, 2012. "Team-moving effect in bi-direction pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3119-3128.
    7. Fukamachi, Masahiro & Nagatani, Takashi, 2007. "Sidle effect on pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 269-278.
    8. Ma, Jian & Song, Wei-guo & Zhang, Jun & Lo, Siu-ming & Liao, Guang-xuan, 2010. "k-Nearest-Neighbor interaction induced self-organized pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(10), pages 2101-2117.
    9. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
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