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Modeling handicapped pedestrians considering physical characteristics using cellular automaton

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  • Kim, Jooyoung
  • Ahn, Chiwon
  • Lee, Seungjae

Abstract

In disaster situations, the evacuation of pedestrians is very important. In particular, handicapped pedestrians experience difficulties in evacuation situations because they cannot move quickly. Therefore, the evacuation of handicapped pedestrians is considered to be an important factor in disaster situations. In this study, we use a walking model based on a cellular automaton (CA) to study the effect of handicapped walking movement related to traffic flow. For the purpose of this research, handicapped walking encompasses wheelchairs, crutches, children, and elderly people. A new model is constructed and analyzed that reflects the physical characteristics of handicapped pedestrians. In this study, the change of pedestrian traffic flow was observed while simulating a 30% ratio of handicapped to normal people. The experimental results showed that the average walking speed decreased by approximately 12% for each simulation step. Therefore, the results of this study suggest that it is necessary to consider handicapped pedestrians in order to conduct realistic evacuation simulations.

Suggested Citation

  • Kim, Jooyoung & Ahn, Chiwon & Lee, Seungjae, 2018. "Modeling handicapped pedestrians considering physical characteristics using cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 507-517.
    • Handle: RePEc:eee:phsmap:v:510:y:2018:i:c:p:507-517
    DOI: 10.1016/j.physa.2018.06.090
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    References listed on IDEAS

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    Cited by:

    1. Fu, Libi & Liu, Yuxing & Shi, Yongqian & Zhao, Yongxiang, 2021. "Dynamics of bidirectional pedestrian flow in a corridor including individuals with disabilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    2. Tamang, Nutthavuth & Sun, Yi, 2023. "Application of the dynamic Monte Carlo method to pedestrian evacuation dynamics," Applied Mathematics and Computation, Elsevier, vol. 445(C).
    3. Chaoyu Zheng & Benhong Peng & Xin Sheng & Anxia Wan, 2021. "Haze risk: information diffusion based on cellular automata," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2605-2623, July.
    4. Kurdi, Heba & Almulifi, Asma & Al-Megren, Shiroq & Youcef-Toumi, Kamal, 2021. "A balanced evacuation algorithm for facilities with multiple exits," European Journal of Operational Research, Elsevier, vol. 289(1), pages 285-296.
    5. Chen, Kai & Song, Xiao & Ren, Xiaoxiang, 2021. "Modeling social interaction and intention for pedestrian trajectory prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    6. Yu, Rongfu & Mao, Qinghua & Lv, Jian, 2022. "An extended model for crowd evacuation considering rescue behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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