TY - GEN
T1 - A 3D Indoor Pedestrian Simulator Using an Enhanced Floor Field Model
AU - Jun, Chulmin
AU - Kim, Hyeyoung
PY - 2011
Y1 - 2011
N2 - Many pedestrian simulation models for micro-scale spaces as building indoor areas have been proposed for the last decade and two models - social force model and floor field model - are getting attention. Among these, the CAbased floor field model is viewed more favorable for computer simulations than computationally complex social force model. However, previous floor fieldbased models have limitations in capturing the differences in dynamic values of different agents. In this study, we improved the floor field model in order for an agent to be able to exclude the influences of its own dynamic values by changing the data structure, and, also modified the initial dynamic value problem in order to fit more realistic environment. As the simulation data structure, we also proposed using a DBMS-based 3D modeling approach. In the simulations, we used real 3D building data stored in a spatial DBMS considering future integration with indoor localization sensors and real time applications. We illustrated the data construction processes and simulations using the proposed enhanced algorithms and DBMS approach.
AB - Many pedestrian simulation models for micro-scale spaces as building indoor areas have been proposed for the last decade and two models - social force model and floor field model - are getting attention. Among these, the CAbased floor field model is viewed more favorable for computer simulations than computationally complex social force model. However, previous floor fieldbased models have limitations in capturing the differences in dynamic values of different agents. In this study, we improved the floor field model in order for an agent to be able to exclude the influences of its own dynamic values by changing the data structure, and, also modified the initial dynamic value problem in order to fit more realistic environment. As the simulation data structure, we also proposed using a DBMS-based 3D modeling approach. In the simulations, we used real 3D building data stored in a spatial DBMS considering future integration with indoor localization sensors and real time applications. We illustrated the data construction processes and simulations using the proposed enhanced algorithms and DBMS approach.
KW - 3D model
KW - Floor field model
KW - Pedestrian simulation
KW - Spatial DBMS
UR - http://www.scopus.com/inward/record.url?scp=84879467870&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-19890-8_10
DO - 10.1007/978-3-642-19890-8_10
M3 - Conference contribution
AN - SCOPUS:84879467870
SN - 9783642198892
T3 - Communications in Computer and Information Science
SP - 133
EP - 146
BT - Agents and Artificial Intelligence - Second International Conference, ICAART 2010, Revised Selected Papers
A2 - Filipe, Joaquim
A2 - Fred, Ana
A2 - Sharp, Bernadette
T2 - 2nd International Conference on Agents and Artificial Intelligence, ICAART 2010
Y2 - 22 January 2010 through 24 January 2010
ER -