@inproceedings{88e78d8c374d4617a191d0fe3691458d,
title = "A 3D indoor pedestrian simulator using a spatial DBMS",
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.",
keywords = "3D data model, CA, Pedestrian simulation, Spatial DBMS",
author = "Hyeyoung Kim and Chulmin Jun",
year = "2010",
language = "English",
isbn = "9789896740221",
series = "ICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings",
pages = "14--21",
booktitle = "ICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings",
note = "2nd International Conference on Agents and Artificial Intelligence, ICAART 2010 ; Conference date: 22-01-2010 Through 24-01-2010",
}