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Modeling and Simulation of Pedestrian Movement Planning Around Corners

Author

Listed:
  • Charitha Dias

    (Qatar Transportation and Traffic Safety Center, Qatar University, Doha 2713, Qatar)

  • Muhammad Abdullah

    (Department of Civil Engineering, The University of Tokyo, Tokyo 113-0033, Japan)

  • Majid Sarvi

    (The Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia)

  • Ruggiero Lovreglio

    (School of Built Environment, Massey University, Auckland 0632, New Zealand)

  • Wael Alhajyaseen

    (Qatar Transportation and Traffic Safety Center, Qatar University, Doha 2713, Qatar)

Abstract

Owing to the complexity of behavioral dynamics and mechanisms associated with turning maneuvers, capturing pedestrian movements around corners in a mathematical model is a challenging task. In this study, minimum jerk and one-thirds power law concepts, which have been initially applied in neurosciences and brain research domains, were utilized in combination to model pedestrian movement planning around bends. Simulation outputs explained that the proposed model could realistically represent the behavioral characteristics of pedestrians walking through bends. Comparison of modeled trajectories with empirical data demonstrated that the accuracy of the model could further be improved by using appropriate parameters in the one-thirds power law equation. Sensitivity analysis explained that, although the paths were not sensitive to the boundary conditions, speed and acceleration profiles could be remarkably varied depending on boundary conditions. Further, the applicability of the proposed model to estimate trajectories of pedestrians negotiating bends under different entry, intermediate, and exit conditions was also identified. The proposed model can be applied in microscopic simulation platforms, virtual reality, and driving simulator applications to provide realistic and accurate maneuvers around corners.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5501-:d:273576
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    References listed on IDEAS

    as
    1. 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.
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    Cited by:

    1. 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).
    2. Zhang, Hui & Xu, Jie & Jia, Limin & Shi, Yihan, 2021. "Research on walking efficiency of passengers around corner of subway station," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    3. Kayvan Aghabayk & Kiarash Radmehr & Nirajan Shiwakoti, 2020. "Effect of Intersecting Angle on Pedestrian Crowd Flow under Normal and Evacuation Conditions," Sustainability, MDPI, vol. 12(4), pages 1-16, February.

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