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A Pedestrian Model Considering Anticipatory Behaviour for Capacity Evaluation

In: Transportation and Traffic Theory 2009: Golden Jubilee

Author

Listed:
  • Miho Asano

    (National Institute for Land and Infrastructure Management)

  • Takamasa Iryo

    (Kobe University)

  • Masao Kuwahara

    (The University of Tokyo)

Abstract

This study proposes a microscopic model of a pedestrian flow that considers the anticipation and decision processes of pedestrians interacting with each other by incorporating game theory. Modelling pedestrian flow in crowded places is essential for evaluating pedestrian facilities and their capacity. It is necessary to consider the anticipation and decision processes of pedestrians interacting with each other because pedestrians are likely to collide frequently in congested situations. This study proposes a model that utilizes the concept of Nash equilibrium. An algorithm for simulating the model is proposed, along with an algorithm for determining the best route of a pedestrian considering the existence of other pedestrians. That the proposed model is capable of reproducing the congested pedestrian flow is confirmed by numerical tests.

Suggested Citation

  • Miho Asano & Takamasa Iryo & Masao Kuwahara, 2009. "A Pedestrian Model Considering Anticipatory Behaviour for Capacity Evaluation," Springer Books, in: William H. K. Lam & S. C. Wong & Hong K. Lo (ed.), Transportation and Traffic Theory 2009: Golden Jubilee, chapter 0, pages 559-581, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4419-0820-9_28
    DOI: 10.1007/978-1-4419-0820-9_28
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    Citations

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    Cited by:

    1. Ji, Xiangfeng & Zhou, Xuemei & Ran, Bin, 2013. "A cell-based study on pedestrian acceleration and overtaking in a transfer station corridor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1828-1839.
    2. Kayvan Aghabayk & Kiarash Radmehr & Nirajan Shiwakoti, 2020. "Effect of Intersecting Angle on Pedestrian Crowd Flow under Normal and Evacuation Conditions," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    3. Canca, David & Zarzo, Alejandro & Algaba, Encarnación & Barrena, Eva, 2013. "Macroscopic attraction-based simulation of pedestrian mobility: A dynamic individual route-choice approach," European Journal of Operational Research, Elsevier, vol. 231(2), pages 428-442.
    4. Ji, Xiangfeng & Zhang, Jian & Ran, Bin, 2013. "A study on pedestrian choice between stairway and escalator in the transfer station based on floor field cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5089-5100.

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