A 3D INDOOR PEDESTRIAN SIMULATOR USING A SPATIAL DBMS

Hyeyoung Kim, Chulmin Jun

2010

Abstract

Most crowd simulation models for pedestrian dynamics are based on analytical approach using experimental settings without being related to real world data. In order for the models to be adapted to real world applications such as fire evacuation or warning systems, some technical aspects first must be resolved. First, the base data should represent the 3D indoor model which contains semantic information of each space. Second, in order to communicate with the indoor localization sensors to capture the real time pedestrians and to store the simulation results for later uses, the data should be in a DBMS instead of files. The purpose of this paper is two folds. One is to suggest a DBMS-based 3D modeling approach for pedestrian simulations. The other is to improve the existing floor field based pedestrian model by modifying the dynamic field. We illustrated the data construction processes and simulations using the proposed DBMS approach and the enhanced pedestrian model.

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Paper Citation


in Harvard Style

Kim H. and Jun C. (2010). A 3D INDOOR PEDESTRIAN SIMULATOR USING A SPATIAL DBMS . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-674-022-1, pages 14-21. DOI: 10.5220/0002715200140021


in Bibtex Style

@conference{icaart10,
author={Hyeyoung Kim and Chulmin Jun},
title={A 3D INDOOR PEDESTRIAN SIMULATOR USING A SPATIAL DBMS},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2010},
pages={14-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002715200140021},
isbn={978-989-674-022-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A 3D INDOOR PEDESTRIAN SIMULATOR USING A SPATIAL DBMS
SN - 978-989-674-022-1
AU - Kim H.
AU - Jun C.
PY - 2010
SP - 14
EP - 21
DO - 10.5220/0002715200140021