Modeling crowd evacuation of a building based on seven methodological approaches

Crowd evacuation of a building has been studied over the last decades. In this paper, seven methodological approaches for crowd evacuation have been identified. These approaches include cellular automata models, lattice gas models, social force models, fluid-dynamic models, agent-based models, game theoretic models, and approaches based on experiments with animals. According to available literatures, we discuss the advantages and disadvantages of these approaches, and conclude that a variety of different kinds of approaches should be combined to study crowd evacuation. Psychological and physiological elements affecting individual and collective behaviors should be also incorporated into the evacuation models.

[1]  José Rogan,et al.  Cellular automaton model for evacuation process with obstacles , 2007 .

[2]  Takashi Nagatani,et al.  Evacuation of crawlers and walkers from corridor through an exit , 2006 .

[3]  Andreas Schadschneider,et al.  Friction effects and clogging in a cellular automaton model for pedestrian dynamics. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  Michel Bierlaire,et al.  Discrete choice models of pedestrian behavior , 2004 .

[5]  Michael Schreckenberg,et al.  Pedestrian and evacuation dynamics , 2002 .

[6]  Wang Bing-Hong,et al.  Evacuation behaviors at exit in CA model with force essentials: A comparison with social force model , 2006 .

[7]  Helbing,et al.  Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[8]  Jian Li,et al.  Simulation of the kin behavior in building occupant evacuation based on Cellular Automaton , 2005 .

[9]  Raymond Friedman,et al.  An International Survey of Computer Models for Fire and Smoke , 1992 .

[10]  Soraia Raupp Musse,et al.  Simulating virtual crowds in emergency situations , 2005, VRST '05.

[11]  Michel Bierlaire,et al.  Discrete Choice Models for Pedestrian Walking Behavior , 2006 .

[12]  T. Nagatani,et al.  Clogging transition of pedestrian flow in T-shaped channel , 2002 .

[13]  Eric Bonabeau,et al.  Agent-based modeling: Methods and techniques for simulating human systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[14]  Roger L. Hughes,et al.  A continuum theory for the flow of pedestrians , 2002 .

[15]  Stefania Bandini,et al.  Towards a Methodology for Situated Cellular Agent Based Crowd Simulations , 2005, ESAW.

[16]  Stephen Wolfram,et al.  Universality and complexity in cellular automata , 1983 .

[17]  Douglas J. Carpenter,et al.  An Updated International Survey of Computer Models for Fire and Smoke , 2003 .

[18]  R. Hughes The flow of human crowds , 2003 .

[19]  Dirk Helbing,et al.  Experiment, theory, and simulation of the evacuation of a room without visibility. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[20]  Siuming Lo,et al.  A game theory based exit selection model for evacuation , 2006 .

[21]  Michael Schreckenberg,et al.  Simulation of competitive egress behavior: comparison with aircraft evacuation data , 2003 .

[22]  Takashi Nagatani,et al.  Sidle effect on pedestrian counter flow , 2007 .

[23]  Daniel R. Parisi,et al.  Pedestrian Pulse Dispersion in an Underground Station , 2005 .

[24]  May Lim,et al.  Self-organized queuing and scale-free behavior in real escape panic , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[25]  Y. F. Yu,et al.  Cellular automaton simulation of pedestrian counter flow considering the surrounding environment. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[26]  Yoshiki Kashimori,et al.  A model describing collective behaviors of pedestrians with various personalities in danger situations , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

[27]  Bing-Hong Wang,et al.  Simulation of evacuation processes using a multi-grid model for pedestrian dynamics , 2006 .

[28]  Benigno E. Aguirre,et al.  A Critical Review Of Emergency Evacuation Simulation Models , 2004 .

[29]  Erica D. Kuligowski Review of 28 Egress Models , 2005 .

[30]  Evacuation Dynamics,et al.  Pedestrian and evacuation dynamics 2005 , 2007 .

[31]  Shimin Gong,et al.  A Crowd Evacuation System in Emergency Situation Based on Dynamics Model , 2006, VSMM.

[32]  Ian Donald Engineering for crowd safety: edited by R.A. Smith and J.F. Dickie. Elsevier Science B.V., Amsterdam, 1993, pp. 428 , 1995 .

[33]  A. J. Batista-Leyva,et al.  Symmetry Breaking in Escaping Ants , 2005, The American Naturalist.

[34]  C. Saloma,et al.  Streaming, disruptive interference and power-law behavior in the exit dynamics of confined pedestrians , 2002 .

[35]  Tony White,et al.  Information in Crowds: The Swarm Information Model , 2006, ACRI.

[36]  Andreas Schadschneider,et al.  Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics , 2002 .

[37]  Norman I. Badler,et al.  Controlling individual agents in high-density crowd simulation , 2007, SCA '07.

[38]  Kincho H. Law,et al.  A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations , 2007, AI & SOCIETY.

[39]  Ana L. C. Bazzan,et al.  An agent-based simulation of pedestrian dynamics: from lane formation to auditorium evacuation , 2006, AAMAS '06.

[40]  T. Nagatani,et al.  Scaling of pedestrian channel flow with a bottleneck , 2001 .

[41]  Li Jian,et al.  Simulation of bi-direction pedestrian movement in corridor , 2005 .

[42]  W. Weng,et al.  Cellular automaton simulation of pedestrian counter flow with different walk velocities. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[43]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[44]  Robert L. Goldstone,et al.  Computational models of collective behavior , 2005, Trends in Cognitive Sciences.

[45]  R. Colombo,et al.  Pedestrian flows and non‐classical shocks , 2005 .

[46]  Toshihiko Shiraishi,et al.  Evaluation of Billboards Based on Pedestrian Flow in the Concourse of the Station , 2006, ACRI.

[47]  Michael Schultz,et al.  A discrete microscopic model for pedestrian dynamics to manage emergency situations in airport terminals , 2007 .

[48]  Katsuhiro Nishinari,et al.  Simulation for pedestrian dynamics by real-coded cellular automata (RCA) , 2007 .

[49]  T. Toffoli,et al.  Conservative logic , 2002, Collision-Based Computing.

[50]  Takashi Nagatani,et al.  Optimal admission time for shifting the audience , 2002 .

[51]  A. Schadschneider,et al.  Simulation of pedestrian dynamics using a two dimensional cellular automaton , 2001 .

[52]  C. Dorso,et al.  Microscopic dynamics of pedestrian evacuation , 2005 .

[53]  Hai-Jun Huang,et al.  A mobile lattice gas model for simulating pedestrian evacuation , 2008 .

[54]  T. Nagatani,et al.  Effect of exit configuration on evacuation of a room without visibility , 2004 .

[55]  Tony White,et al.  Macroscopic effects of microscopic forces between agents in crowd models , 2007 .

[56]  Takashi Nagatani,et al.  Experiment and simulation for counterflow of people going on all fours , 2005 .

[57]  Armin Seyfried,et al.  Steps Toward the Fundamental Diagram — Empirical Results and Modelling , 2007 .

[58]  Nicolas Marmaras,et al.  Searching efficient plans for emergency rescue through simulation: the case of a metro fire , 2004, Cognition, Technology & Work.

[59]  Roger L. Hughes,et al.  The flow of large crowds of pedestrians , 2000 .

[60]  L. F. Henderson,et al.  The Statistics of Crowd Fluids , 1971, Nature.

[61]  Edwin R. Galea,et al.  A review of the methodologies used in the computer simulation of evacuation from the built environment , 1999 .

[62]  A. Seyfried,et al.  Basics of Modelling the Pedestrian Flow , 2005, physics/0506189.

[63]  Georgios Ch. Sirakoulis,et al.  A Simulation Tool for Modelling Pedestrian Dynamics during Evacuation of Large Areas , 2006, AIAI.

[64]  T. Nagatani,et al.  Scaling behavior of crowd flow outside a hall , 2001 .

[65]  C. Dorso,et al.  Morphological and dynamical aspects of the room evacuation process , 2007 .

[66]  S. Wolfram Statistical mechanics of cellular automata , 1983 .

[67]  T. Vicsek,et al.  Simulation of pedestrian crowds in normal and evacuation situations , 2002 .

[68]  Fan Weicheng,et al.  Simulation of bi-direction pedestrian movement using a cellular automata model , 2003 .

[69]  Lizhong Yang,et al.  Exit dynamics of occupant evacuation in an emergency , 2006 .

[70]  T. Nagatani,et al.  Spatio-temporal distribution of escape time in evacuation process , 2003 .

[71]  D. Helbing,et al.  Lattice gas simulation of experimentally studied evacuation dynamics. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[72]  Katsuhiro Nishinari,et al.  Modelling of self-driven particles: Foraging ants and pedestrians , 2006 .