Fuzzy Prediction of Pedestrian Steering Behavior with Local Environmental Effects

  • Mojdeh Nasir
  • Matthew Glenn Watson
  • Vu Le
  • Saeid Nahavandi
  • Douglas Creighton
Conference paper


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.


Pedestrian steering behavior Fuzzy logic Environmental effects Walking trajectory prediction 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mojdeh Nasir
    • 1
  • Matthew Glenn Watson
    • 1
  • Vu Le
    • 1
  • Saeid Nahavandi
    • 1
  • Douglas Creighton
    • 1
  1. 1.Centre for Intelligent Systems ResearchDeakin UniversityVictoriaAustralia

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