CrowdEgress: A Multi-Agent Simulation Platform for Pedestrian Crowd
Peng Wang, Xiaoda Wang, Peter Luh, Neal Olderman, Christian Wilkie,, Timo Korhonen

TL;DR
CrowdEgress is a multi-agent simulation platform that models complex pedestrian behaviors and interactions in social and emergency contexts, integrating social theories and compatible with existing evacuation tools.
Contribution
It extends the social force model within a simulation platform that integrates with FDS+Evac, enabling detailed study of crowd dynamics and human behavior during evacuations.
Findings
Platform supports importing FDS+Evac data for realistic scenarios
Models social and psychological factors in crowd behavior
Facilitates research on emergency evacuation strategies
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.
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Taxonomy
TopicsEvacuation and Crowd Dynamics · Transportation Planning and Optimization · Traffic control and management
