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Fuzzy Prediction of Pedestrian Steering Behavior with Local Environmental Effects

In: Pedestrian and Evacuation Dynamics 2012

Author

Listed:
  • Mojdeh Nasir

    (Deakin University, Centre for Intelligent Systems Research)

  • Matthew Glenn Watson

    (Deakin University, Centre for Intelligent Systems Research)

  • Vu Le

    (Deakin University, Centre for Intelligent Systems Research)

  • Saeid Nahavandi

    (Deakin University, Centre for Intelligent Systems Research)

  • Douglas Creighton

    (Deakin University, Centre for Intelligent Systems Research)

Abstract

This research focuses on prediction of pedestrian walking paths in indoor public environments during normal and non-panic situations. The aim is to incorporate uncertain and non-precise aspects of pedestrian interaction with the environment to enhance steering behavior modeling. The proposed model introduces a fuzzy logic framework to predict the impact of environmental stimuli within a pedestrian’s field of view on movement direction. The environment is treated as a set of discrete attractions and repulsions. Attractive and repulsive effects of the surrounding environment, which drive the pedestrian to select next step position, are quantified by social force method. A high flow corridor in an office is considered for the case study. Stochastic simulation is used to generate walking trajectories and calculate a dynamic contour map of environmental stimuli in each step. To verify the simulation results and gain a better insight into the problem, a dataset defining walking trajectories of 25 participants passing through that hallway was collected using motion tracking system. Results demonstrate a strong correlation between real data and simulated results.

Suggested Citation

  • Mojdeh Nasir & Matthew Glenn Watson & Vu Le & Saeid Nahavandi & Douglas Creighton, 2014. "Fuzzy Prediction of Pedestrian Steering Behavior with Local Environmental Effects," Springer Books, in: Ulrich Weidmann & Uwe Kirsch & Michael Schreckenberg (ed.), Pedestrian and Evacuation Dynamics 2012, edition 127, pages 1081-1096, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-02447-9_89
    DOI: 10.1007/978-3-319-02447-9_89
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