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

Conference paper

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 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Cognitive, Linguistic, and Psychological SciencesBrown UniversityProvidenceUSA

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