Self-Organization Phenomena in Pedestrian Crowds

TL;DR

This paper presents a social force model that simulates pedestrian crowd behaviors, capturing self-organization phenomena, which can be used to improve urban planning and crowd management strategies.

Contribution

It introduces a simple yet effective social force model that reproduces observed collective pedestrian patterns, aiding in flow optimization.

Findings

Model successfully reproduces empirical crowd patterns

Self-organization phenomena can be harnessed for traffic flow improvements

Provides a basis for new crowd management methods

Abstract

Pedestrian crowds can very realistically be simulated with a social force model which describes the different influences affecting individual pedestrian motion by a few simple force terms. The model is able to reproduce the emergence of several empirically observed collective patterns of motion. These self-organization phenomena can be utilized for new flow optimization methods which are indispensable for skilful town- and traffic-planning.