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Authors: Hyunwoo Nam ; Suyeong Kwak and Chulmin Jun

Affiliation: University of Seoul, Korea, Republic of

Keyword(s): Floor Field Model, Pedestrian Dynamics, Cellular Automata, Indoor Evacuation, Microscopic Model.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Methodologies and Technologies ; Operational Research ; Simulation

Abstract: This study introduces an improved Floor Field Model (FFM) that models pedestrians using realistic physical characteristics (size, shape, and posture). Through comparison with other well-known models, the areas of improvement are elucidated. The FFM is a leading microscopic pedestrian model that uses cellular automation (CA), but it does not accurately reflect the physical characteristics of pedestrians, such as their size, shape, and posture. Therefore, it is difficult for the existing FFM to simulate certain phenomena, such as collisions and friction between pedestrians. This study proposes an improved FFM that can simulate these phenomena, and experiments were carried out to compare this model with other models, such as the existing FFM, Simulex, and Pathfinder, to confirm the improvements. Through this experiment, it was confirmed that inter-pedestrian phenomena, such as collisions, friction, and jamming, could be realistically simulated.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Nam, H.; Kwak, S. and Jun, C. (2016). Comparison of Improved Floor Field Model and Other Models. In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-172-4; ISSN 2184-433X, SciTePress, pages 95-101. DOI: 10.5220/0005658700950101

@conference{icaart16,
author={Hyunwoo Nam. and Suyeong Kwak. and Chulmin Jun.},
title={Comparison of Improved Floor Field Model and Other Models},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2016},
pages={95-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005658700950101},
isbn={978-989-758-172-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Comparison of Improved Floor Field Model and Other Models
SN - 978-989-758-172-4
IS - 2184-433X
AU - Nam, H.
AU - Kwak, S.
AU - Jun, C.
PY - 2016
SP - 95
EP - 101
DO - 10.5220/0005658700950101
PB - SciTePress