Proxemics and Permeability of the Pedestrian Group
Saleh Albeaik, Faisal Alsallum, Mohamad Alrished
TL;DR
The paper investigates how pedestrian groups establish proxemic behavior and permeability in crowds by treating groups as emergent agents and formalizing a group-proxemics framework. It combines a hierarchical, game-theoretic modeling approach with naturalistic crowd datasets to define group zones (convex hull and circle) around groups and to measure zone occupancy and outsider clearance. Empirically, it finds that outsiders intrude into group zones in a minority of encounters and spend little walking time inside, while groups intermittently adjust their zones during transient states, revealing a progressive permeability. The work advances crowd dynamics and human-robot interaction research by providing quantitative metrics, a formalized group-agent perspective, and a data-driven basis for simulating and predicting group-aware pedestrian behavior in real-world settings.
Abstract
People tend to walk in groups, and interactions with those groups have a significant impact on crowd behavior and pedestrian traffic dynamics. Social norms can be seen as unwritten rules regulating people interactions in social settings. This article studies people interactions with groups and the emergence of group proxemics. Group zones, zone occupancy counts and people clearance from the group are studied using naturalistic data. Analysis indicate potential presence of three different zones in addition to the public zone. People tend to remain in the public zone and only progressively get closer to groups, and those closer approaches happen in a low frequency and for brief periods of time.
