Comparison of Improved Floor Field Model and Other Models

Hyunwoo Nam, Suyeong Kwak, Chulmin Jun

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.

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Paper Citation


in Harvard Style

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, pages 95-101. DOI: 10.5220/0005658700950101


in Bibtex Style

@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},
}


in EndNote Style

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
AU - Nam H.
AU - Kwak S.
AU - Jun C.
PY - 2016
SP - 95
EP - 101
DO - 10.5220/0005658700950101