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A Data-Driven Model of Pedestrian Following and Emergent Crowd Behavior

In: Pedestrian and Evacuation Dynamics 2012

Author

Listed:
  • Kevin Rio

    (Brown University, Department of Cognitive, Linguistic, and Psychological Sciences)

  • William H. Warren

    (Brown University, Department of Cognitive, Linguistic, and Psychological Sciences)

Abstract

Pedestrian following is a common behavior, and may provide a key link between individual locomotion and crowd dynamics. Here, we present a model for following that is motivated by cognitive science and grounded in empirical data. In Experiment 1, we collected data from leader-follower pairs, and showed that a simple speed-matching model is sufficient to account for behavior. In Experiment 2, we manipulated the visual information of a virtual leader, and found that followers respond primarily to changes in visual angle. Finally, in Experiment 3, we use the speed-matching model to simulate speed coordination in small crowds of four pedestrians. The model performs as well in these small crowds as it did in the leader-follower pairs. This cognitively-inspired, empirically-grounded model can serve as a component in a larger model of crowd dynamics.

Suggested Citation

  • Kevin Rio & William H. Warren, 2014. "A Data-Driven Model of Pedestrian Following and Emergent Crowd Behavior," Springer Books, in: Ulrich Weidmann & Uwe Kirsch & Michael Schreckenberg (ed.), Pedestrian and Evacuation Dynamics 2012, edition 127, pages 561-574, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-02447-9_47
    DOI: 10.1007/978-3-319-02447-9_47
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