J Korean Soc Hazard Mitig 2018; 18(1): 79-90  https://doi.org/10.9798/KOSHAM.2018.18.1.79
Crowd Evacuation Simulation with Real-Time Active Route Choice Model based on Human Characteristic and Computational Fluid Dynamics Data
Kim, Hyuncheol*, and Han, Soonhung**
*Member, Ph.D. Candidate, Department of Mechanical Engineering, KAIST
**Member, Professor, Department of Mechanical Engineering, KAIST
Correspondence to: Member, Professor, Department of Mechanical Engineering, KAIST (Tel: +82-42-350-1540, Fax: +82-42-350-1540, E-mail: shhan@kaist.ac.kr)
Received: September 30, 2017; Revised: October 18, 2017; Accepted: November 20, 2017; Published online: January 31, 2018.
© The Korean Society of Hazard Mitigation. All rights reserved.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Contrary to the past, modern buildings have become larger in scale and function. In case of an emergency situation, difficulty of evacuation and rescue increases. Therefore, effective evacuation methods and risks should be predicted and applited to building design, safety training and education. In this research, computational fluid dynamics data was interlocked for realistic evacuation simulation and a real-time active route choice model that agents detect hazardous factors based on human sense and make their own decisions about bottleneck areas and choose evacuation routes was developed. In this paper, we suggest a new methodology for crowd evacuation simulation by introducing the active route choice model, analyzing the implementation process, performance and realism. It is expected that it will be possible to perform evacuation simulations with more realistic and validity by applying the active route choice model.
Keywords: Evacuation Simulation, Real-time Active Route Choice Model, Hazardous Factors Detection, Computational Fluid Dynamics Data, UNITY Engine


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