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Cellular automaton simulations of hybrid pedestrian movement in two-route situation

Author

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  • Jin, Cheng-Jie
  • Fang, Shuyi
  • Jiang, Rui
  • Xue, Kaiwen
  • Li, Dawei

Abstract

In this paper, we simulate the hybrid pedestrian movement considering both operational and tactical levels. The video data of our pedestrian route choice experiments are used for validations. Based on the CA model proposed by Nowak and Schadschneider, we build a new modeling framework and introduce six new parameters. Their values are determined by sensitivity analysis. To consider the influence of five statistical results in the simulations, including the velocities and densities of two routes, and the proportion of choosing the longer route, we propose a new metric named OPE (Overall Percentage Error). In order to reduce OPE, four models with different configurations are discussed and compared. We find that the use of shorter time step, modified SFF and the two-stage decision can help to improve the model performance. The simulation results in some other experimental run also shows the validity and universality of the model. In addition, we also compare the outputs of some typical pedestrian simulation software (e.g., AnyLogic), and we find our model has better results.

Suggested Citation

  • Jin, Cheng-Jie & Fang, Shuyi & Jiang, Rui & Xue, Kaiwen & Li, Dawei, 2024. "Cellular automaton simulations of hybrid pedestrian movement in two-route situation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 651(C).
    • Handle: RePEc:eee:phsmap:v:651:y:2024:i:c:s0378437124005387
    DOI: 10.1016/j.physa.2024.130029
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    References listed on IDEAS

    as
    1. Fang, Shuyi & Jin, Cheng-Jie & Jiang, Rui & Li, Dawei, 2024. "Simulating the bi-directional pedestrian flow under high densities by a floor field cellular automaton model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).
    2. Jin, Cheng-Jie & Jiang, Rui & Liu, Tongfei & Li, Dawei & Wang, Hao & Liu, Xianglong, 2021. "Pedestrian dynamics with different corridor widths: Investigation on a series of uni-directional and bi-directional experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    3. Xu, X. & Song, W.G. & Zheng, H.Y., 2008. "Discretization effect in a multi-grid egress model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(22), pages 5567-5574.
    4. Hoogendoorn, S. P. & Bovy, P. H. L., 2004. "Pedestrian route-choice and activity scheduling theory and models," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 169-190, February.
    5. Kirchner, Ansgar & Schadschneider, Andreas, 2002. "Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(1), pages 260-276.
    6. Haghani, Milad & Sarvi, Majid, 2019. "Laboratory experimentation and simulation of discrete direction choices: Investigating hypothetical bias, decision-rule effect and external validity based on aggregate prediction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 134-157.
    7. Jin, Cheng-Jie & Wu, Chenyang & Song, Yuchen & Liu, Tongfei & Li, Dawei & Jiang, Rui & Fang, Shuyi, 2024. "The route choices of pedestrians under crowded and non-emergency conditions: Two-route experiments and modeling," Journal of choice modelling, Elsevier, vol. 50(C).
    8. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
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