The visual coupling between neighbours explains local interactions underlying human 'flocking'.

ABSTRACT: Patterns of collective motion in bird flocks, fish schools and human crowds are believed to emerge from local interactions between individuals. Most 'flocking' models attribute these local interactions to hypothetical rules or metaphorical forces and assume an omniscient third-person view of the positions and velocities of all individuals in space. We develop a visual model of collective motion in human crowds based on the visual coupling that governs pedestrian interactions from a first-person embedded viewpoint. Specifically, humans control their walking speed and direction by cancelling the average angular velocity and optical expansion/contraction of their neighbours, weighted by visibility (1 - occlusion). We test the model by simulating data from experiments with virtual crowd

SUBMITTER: Dachner GC 

PROVIDER: S-EPMC8889174 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature