Abstract
The research of occupant evacuation in an emergency is of great benefit to building design and evacuation guidance. In this paper a microcosmic discrete evacuation model based on Cellular Automata (CA) is presented, in which the occupants’ individual characteristics are considered. Thus, our model has given a description of evacuation route choice with influencing factors, including: individual knowledge of the building, individual realization of the emergency development, and the attractive and repulsive force between occupants. This model differs somewhat from other models in the attention to the associative and separate effect of influencing factors, based on occupant’s behaviors. In addition, the model could reveal the phenomenon of escape in fire, as those simulations involving a fire condition have shown.
Similar content being viewed by others
References
Study on Evacuation in Building Fire, edited by Fire Protection Engineering Group, Beijing, 2001.
Gwynne, S., Galea, E. R., Owen, M. et al., A review of the methodologies used in evacuation modeling. Fire Mater., 1999, 23: 383–388. [DOI]
Wolfram, S., Cellular Automata and Complexity, New York: Addison-Wesley Publishing Company, 1994.
Von Neumann, J., Theory of Self-reproducing Automata (ed. Burks, A.), Urbana: Univ. of Illinois Press,. Champaign, II., 1966.
Wolfram, S., Theory and Applications of Cellular Automata, Singapore: World Scientific, 1986.
Nagel, K., Schreckenberg, M., A cellular automaton model for freeway traffic. J. Physique I, 1992, 2: 2221–2229. [DOI]
Fukui, M., Ishibashi, Y., Traffic flow in 1D cellular automaton model including cars moving with high speed, J. Phys. Soc. Jpn., 1996, 65: 1868–1870.
Rickert, M., Nagel, K., Schreckenberg, M. et al., Two-lane traffic simulations using cellular automata, Physica A, 1996, 231: 534.
Simon, P. M., Gutowitz, H. A., Cellular automation model for bi-directional traffic, Physical Review E, February 1998, 57(2): 2441–2444.
Chowdhury, D., Schadschneider, A., Self-organization of traffic jams in cities: effects of stochastic dynamics and signal periods, Physical Review E: Rapid Communications (AIP, USA), 1999, 59: R1311.
Sasvari, M., Kertesz, J., Cellular automata models of single lane traffic, Physical Review E, 1997, 56(4): 4104–4110. [DOI]
Biham, O., Middleton, A. A., Levine, D., Self-organization and dynamical transition in traffic-flow models, Phys. Rev. A, 1992, 46: R6124. [DOI]
Wolf, D., Cellular automata for traffic simulations, Physica A, 1999, 263: 438–451.
Special Report 209: Highway Capacity Manual, Transportation Research Board, National Research Council, Washington, D.C., 1985, Chapter 13.
Blue, V. J., Adler, J. L., Emergent fundamental pedestrian flows from cellular automata microsimulation, Transportation Research Record, 1998, 1644: 29–36.
Blue, V. J., Adler, J. L., Cellular automata microsimulation of bi-directional pedestrian flows, Transportation Research Record, Journal of the Transportation Research Board, 2000, 1678: 135–141.
Blue, V. J., Adler, J. L., Bi-directional emergent fundamental pedestrian flows from cellular automata microsimulation, Transportation and Traffic Theory, Proceedings of the 14th International Symposium on Transportation and Traffic Theory (ed. Ceder, A.), Pergamon, 235–254, Jerusalem Israel, July 1999, 20–23.
Blue, V. J., Adler, J. L., Cellular automata microsimulation for modeling bi-directional pedestrian walkways, Forthcoming in Transportation Research B.
Blue, V. J., Adler, J. L., Modeling four-directional pedestrian flows, Proceedings of the 79th Transportation Research Board, Washington D.C., 2000.
Helbing, D., Molnar, P., Social force model for pedestrian dynamics, Physical Review E, May 1995, 51(5): 4282–4286. [DOI]
Virkler, M. R., Elayadath, S., Pedestrian speed-flow-density relationships, Transportation Research Record, 1994, 1438: 51–58.
Løvas, G. G., Modeling and simulation of pedestrian traffic flow, Transportation Research B, 1994, 28(6): 429–443.
AlGadhi, S. A. H., Mahmassani, H., Simulation of crowd behavior and movement: fundamental relations and application, Transportation Research Record, 1991, 1320: 260–268.
Helbing, D., Farkas, L., Vicsek, T., Simulating dynamical features of escape panic, Nature, September 2000, 407(28): 487–490. [DOI]
Special Report 209: Highway Capacity Manual, Transportation Research Board, National Research Council, Washington D.C., 1994.
Burstedde, C., Klanck, K., Schadschneider, A. et al., Simulation of pedestrian dynamics using a two-dimensional cellular automaton, Physica A, 2001, 295: 507–525.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Yang, L., Li, J., Zhao, D. et al. A microcosmic discrete occupant evacuation model based on individual characteristics. Sci. China Ser. E-Technol. Sci. 47, 608–615 (2004). https://doi.org/10.1360/03ye0292
Received:
Issue Date:
DOI: https://doi.org/10.1360/03ye0292