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

Kevin Rio () and William H. Warren
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Kevin Rio: Brown University, Department of Cognitive, Linguistic, and Psychological Sciences
William H. Warren: Brown University, Department of Cognitive, Linguistic, and Psychological Sciences

A chapter in Pedestrian and Evacuation Dynamics 2012, 2014, pp 561-574 from Springer

Abstract: 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.

Keywords: Cognitive science; Data; Dynamics; Experiment; Following (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02447-9_47

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DOI: 10.1007/978-3-319-02447-9_47

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