English

CrowdEgress: A Multi-Agent Simulation Platform for Pedestrian Crowd

Physics and Society 2025-01-17 v3 Adaptation and Self-Organizing Systems

Abstract

This article introduces a simulation platform to study complex crowd behavior in social context. The agent-based model is extended based on the social force model, and it mainly describes how agents interact with each other, and also with surrounding facilities such as walls, doors and exits. The simulation platform is compatible to FDS+Evac, and the input data in FDS+Evac could be imported into our simulation platform to create single-floor compartment geometry, and a flow solver is used to generate the roadmap towards exits. Most importantly, we plan to integrate advanced social and psychological theory into our simulation platform, especially investigating human behavior in emergency evacuation,such as pre-evacuation behavior, exit-selection activities, social group and herding effect and so forth.

Keywords

Cite

@article{arxiv.2406.08190,
  title  = {CrowdEgress: A Multi-Agent Simulation Platform for Pedestrian Crowd},
  author = {Peng Wang and Xiaoda Wang and Peter Luh and Neal Olderman and Christian Wilkie and Timo Korhonen},
  journal= {arXiv preprint arXiv:2406.08190},
  year   = {2025}
}

Comments

27 pages, 21 figures

R2 v1 2026-06-28T17:03:04.985Z