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Crowds involving individuals with disabilities: Modeling heterogeneity using Fractional Order Potential Fields and the Social Force Model

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  • Stuart, Daniel S.
  • Sharifi, Mohammad Sadra
  • Christensen, Keith M.
  • Chen, Anthony
  • Kim, Yong Seog
  • Chen, YangQuan

Abstract

There is a need to model individuals with physical disabilities in a crowd. This requires both understanding how such individuals impact a crowd and how the crowd impacts them. Previous efforts have adjusted velocity to represent individuals with disabilities in a crowd. The various disabilities that are represented in a crowd of individuals show much more complex and varying interactions that require an improved form of modeling. Individuals with disabilities are in part composed of those using mechanical and electric wheelchairs, those who have impaired vision, and those with diverse mobility-related disabilities. In our research we conducted a large-scale crowd experiment with heterogeneous compositions of crowds involving individuals with disabilities. The initial outcomes demonstrated that each group differed in velocity as well as in the composition of their environment. Additional results showed that interaction within a crowd varied as well. The purpose of this paper is to provide some initial differences found in the study of individuals with disabilities within a crowd and how those differences change pedestrian interaction. Using the nature of Fractional Order Potential Fields (FOPF), this paper provides a method for how pedestrian interaction can be adjusted to respond to the differences created by those with various disabilities in each group. Finally, how a hybrid model between FOPF and the Social Force Model can be used to capture experimental results in simulation.

Suggested Citation

  • Stuart, Daniel S. & Sharifi, Mohammad Sadra & Christensen, Keith M. & Chen, Anthony & Kim, Yong Seog & Chen, YangQuan, 2019. "Crowds involving individuals with disabilities: Modeling heterogeneity using Fractional Order Potential Fields and the Social Force Model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 244-258.
    • Handle: RePEc:eee:phsmap:v:514:y:2019:i:c:p:244-258
    DOI: 10.1016/j.physa.2018.08.174
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    References listed on IDEAS

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    1. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    2. Keith Christensen & Yuya Sasaki, 2008. "Agent-Based Emergency Evacuation Simulation with Individuals with Disabilities in the Population," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-9.
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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. Li, Yongxing & Yang, Xiaoxia & Wang, Zijia & Chen, Liang & Chen, Yanyan, 2022. "Lane-design for mixed pedestrian flow in T-shaped passage," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    3. Ren, Xiangxia & Zhang, Jun & Song, Weiguo & Cao, Shuchao, 2021. "Mechanisms of passing through short exits for the elderly and young adults," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 195-213.

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