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A microscopic pedestrian-simulation model and its application to intersecting flows

Author

Listed:
  • Guo, Ren-Yong
  • Wong, S.C.
  • Huang, Hai-Jun
  • Zhang, Peng
  • Lam, William H.K.

Abstract

We develop a microscopic pedestrian-simulation model in which pedestrian positions are updated at discrete time steps. At each time step, each pedestrian probabilistically selects a direction of movement from a predetermined set according to a logit-type function that considers the dynamics of other pedestrians around, and then selects a step size that satisfies a certain distribution. We perform a number of field experiments on real intersecting pedestrian flows with four different angles. We then validate and calibrate the model using sample data on the deviation angles, step velocities, and velocity–density relations obtained from the experiments.

Suggested Citation

  • Guo, Ren-Yong & Wong, S.C. & Huang, Hai-Jun & Zhang, Peng & Lam, William H.K., 2010. "A microscopic pedestrian-simulation model and its application to intersecting flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 515-526.
    • Handle: RePEc:eee:phsmap:v:389:y:2010:i:3:p:515-526
    DOI: 10.1016/j.physa.2009.10.008
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    Citations

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    Cited by:

    1. Li, Chuan-Yao & Yang, Rui-Yu & Xu, Guang-ming, 2019. "Impacts of group behavior on boarding process at the platform of high speed railway station," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    2. Guo, Ren-Yong & Huang, Hai-Jun & Wong, S.C., 2011. "Collection, spillback, and dissipation in pedestrian evacuation: A network-based method," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 490-506, March.
    3. Luo, Lin & Liu, Xiaobo & Fu, Zhijian & Ma, Jian & Liu, Fanxiao, 2020. "Modeling following behavior and right-side-preference in multidirectional pedestrian flows by modified FFCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    4. Matias Kulczewski & Andres Wilson & Sebastian Seriani & Taku Fujiyama, 2022. "Factorial Design with Simulation for the Optimization of the Level of Service in the Platform-Train Interface of Metro Stations—A Pilot Study," Sustainability, MDPI, vol. 14(23), pages 1-24, November.
    5. 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.
    6. Zhou, Zi-Xuan & Nakanishi, Wataru & Asakura, Yasuo, 2021. "Route choice in the pedestrian evacuation: Microscopic formulation based on visual information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    7. Lovreglio, Ruggiero & Ronchi, Enrico & Nilsson, Daniel, 2015. "Calibrating floor field cellular automaton models for pedestrian dynamics by using likelihood function optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 308-320.

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