scispace - formally typeset
S

Simon Garnier

Researcher at New Jersey Institute of Technology

Publications -  60
Citations -  4052

Simon Garnier is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Collective behavior & Swarm robotics. The author has an hindex of 23, co-authored 52 publications receiving 3384 citations. Previous affiliations of Simon Garnier include University of Toulouse & Rutgers University.

Papers
More filters
Journal ArticleDOI

The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics

TL;DR: Analyzing the motion of approximately 1500 pedestrian groups under natural condition shows that social interactions among group members generate typical group walking patterns that influence crowd dynamics, demonstrating that crowd dynamics is not only determined by physical constraints induced by other pedestrians and the environment, but also significantly by communicative, social interaction among individuals.
Journal ArticleDOI

The biological principles of swarm intelligence

TL;DR: The underlying mechanisms of complex collective behaviors of social insects, from the concept of stigmergy to the theory of self-organization in biological systems, are described and four functions that emerge at the level of the colony and that organize its global behavior are proposed.
Journal ArticleDOI

Experimental study of the behavioural mechanisms underlying self-organization in human crowds

TL;DR: The experimental results reveal features of the decision process when pedestrians choose the side on which they evade, and show a side preference that is amplified by mutual interactions.
Journal ArticleDOI

Collective information processing and pattern formation in swarms, flocks, and crowds.

TL;DR: A general description of collective dynamics across species is provided and a classification of these dynamics not only with respect to the way information is transferred among individuals but also with regard to the knowledge processing at the collective level is introduced.
Journal ArticleDOI

Visual attention and the acquisition of information in human crowds.

TL;DR: A model that predicts that this gaze response will lead to the transfer of visual attention between crowd members is developed, but it is not sufficiently strong to produce a tipping point or critical mass of gaze-following that has previously been predicted for crowd dynamics.