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Block-based floor field model for pedestrian’s walking through corner

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Listed:
  • Li, Shengnan
  • Li, Xingang
  • Qu, Yunchao
  • Jia, Bin

Abstract

Floor field model, characterized by discretization in both time and space, is very popular in pedestrian modeling. In this paper, the pedestrian’s moving behavior of walking through corner is described by a block-based floor field model. In this method, a complicated scenario with corners is divided into different types of blocks, the static floor field of each block is separately calculated, and a boundary rule is incorporated into the model to deal with the connected adjacent blocks. Two typical scenarios, L-type scenario and T-type scenario, are used to investigate the performance of the proposed model. The simulation results showed that the proposed model could well reproduce the empirical pedestrian’s moving behavior through corner, i.e., pedestrian may transfer to the far corner instead of queuing up at the near corner when congestion happens. Pedestrians are more uniformly distributed in the whole evacuation process and the total evacuation time could be reduced due to the full utilization of scenarios for both channel and corner.

Suggested Citation

  • Li, Shengnan & Li, Xingang & Qu, Yunchao & Jia, Bin, 2015. "Block-based floor field model for pedestrian’s walking through corner," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 337-353.
    • Handle: RePEc:eee:phsmap:v:432:y:2015:i:c:p:337-353
    DOI: 10.1016/j.physa.2015.03.041
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    Cited by:

    1. Qiu, Guo & Song, Rui & He, Shiwei & Yin, Weichuan, 2018. "The pedestrian flow characteristics of Y-shaped channel," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 199-212.
    2. Sun, Cheng & Sun, Shi & Qu, Dagang & Zhu, Xun & Liu, Ying, 2023. "Modeling of pedestrian turning behavior and prediction of pedestrian density distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    3. Zhou, Zi-Xuan & Nakanishi, Wataru & Asakura, Yasuo, 2021. "Data-driven framework for the adaptive exit selection problem in pedestrian flow: Visual information based heuristics approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    4. Charitha Dias & Muhammad Abdullah & Majid Sarvi & Ruggiero Lovreglio & Wael Alhajyaseen, 2019. "Modeling and Simulation of Pedestrian Movement Planning Around Corners," Sustainability, MDPI, vol. 11(19), pages 1-15, October.

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