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A study on building evacuation simulation using Floor Field Model
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 Title & Authors
A study on building evacuation simulation using Floor Field Model
Nam, Hyunwoo; Kwak, Suyeong; Jun, Chulmin;
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 Abstract
The floor field model (hereafter referred to as FFM) is a cellular automata (hereafter referred to as CA)-based walk model used to model pedestrian behavior. Existing studies on FFM conducted experiments with simple structures (that have one room or one obstacle in a room) or relatively complicated structures (that have many rooms). In order to apply the FFM to real buildings, it is necessary to have additional methodologies to process information about the number of rooms, floors, stairs, and exit doors. In particular, it is necessary to process exit doors during this procedure. Exit doors that are recognized by pedestrians are of many types such as exit doors in rooms, stairs connected to corridors, and exit doors in a building. When calculating the static floor field (hereafter referred to as SFF) in the FFM, information about exit doors is needed and simulation results will be different depending on how the SFF is calculated using an exit door among the above-mentioned exit doors. In this study, an XML-format building data model is proposed according to data structures required by the FFM. This study also defines a methodology to process a number of exit doors. Accordingly, this study developed a building data construction and evacuation simulator and simulation experiments were conducted with university campus building.
 Keywords
Microscopic Simulation;Floor Field Model;Evacuation Simulation;Pedestrian Dynamics;
 Language
Korean
 Cited by
 References
1.
Ahuja, R.K., Magnati, T.L. and Orlin, J.B., Network flows : Theory, algorithms, and Applications, Prentice Hall, Englewood Cliffs, N. J., 1993.

2.
Burstedde, C., Klauck, K., Schadschneider, A. and Zittartz, J., "Simulation of pedestrian dynamics using a two-dimensional cellular automaton", Physica A:Statistical Mechanics and its Applications, Vol.295, No.3-4, 2001, 507-525. crossref(new window)

3.
Henein, C., "Crowds Are Made of People: Human Factors in Microscopic Crowd Models", Ph.D Thesis, Carleton University, Canada, 2008.

4.
Jang, B.O., "Design and Implementation of Evacuation Simulation of Indoor Environment Fire", Journal of the Korea Society for Simulation, Vol.19, No.2, 2010, 1-8. (장병옥, "건물 내에서 화재시의 대피 시뮬레이션 설계 및 구현", 한국시뮬레이션학회논문지, 제19권, 제2호, 2010, 1-8).

5.
Kirchner, A. and Schadschneider, A., "Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics", Physica A:Statistical Mechanics and its Applications, Vol.312, No.1-2, 2002, 260-276. crossref(new window)

6.
Kirchner, A., Nishinari, K. and Schadschneider, A., "Friction effect and clogging in a cellular automaton model for pedestrian dynamics", Physical Review E, Vol.67, No.5, 2003.

7.
Kirchner, A., Klupfel, H., Nishinari, K., Schadschneider, A. and Schreckenberg, M., "Discretisation Effects and The Influence of Walking Speed in Cellular Automata Models for Pedestrian Dynamics", Journal of Statistical Mechanics-Theory and Experiment, Vol.10:P10011, 2004.

8.
Nam, H.Y., Kwak. S.Y. and Jun, C.M., "Developing a Cellular Automata-based Pedestrian Model Incorporating Physical Characteristics of Pedestrians", Journal of Korea Spatial Information Society, Vol.22, No.2, 2014, 53-62. (남현우, 곽수영, 전철민, "보행자의 물리적 특성을 반영한 CA기반 보행 모델", 한국공간정보학회지, 제22권, 제2호, 2014, 53-62).

9.
Varas, A., Cornejo, M.D., Mainemer, D., Toledo, B., Rogan, J., Munoz, V. and Valdivia, J.A., "Cellular automaton model for evacuation process with obstacles", Physica A:Statistical Mechanics and its Applications, Vol.382, No.2, 2007, 631-642. crossref(new window)

10.
Zhang, L., Wang, J.H. and Shi, Q.Y., "Multi-Agent Based Modeling and Simulating for Evacuation Process in Stadium", Journal of Systems Science & Complexity, Vol.27, No.3, 2014, 430-444. crossref(new window)