A GIS-Based 3D Simulation for Occupant Evacuation in a Building

The evacuation efficiency of building plans is of obvious importance to the public safety. The complexity of building plans, however, makes it difficult for the efficiency evaluation. This paper presents a computational model AutoEscape, which can simulate the evacuation process for any given occupant distribution in buildings. Designed as an extensible multi-level structure, the model constructs the geometry level and occupant level and establishes the interactions between levels. The GIS-based environmental analysis is realized to automatically generate the geometric representation and formulate the cognition of agents. The multi-agent based technology is employed to simulate the crowd behaviors with autonomously acting individuals. A visualization component, which provides 3D free observations for the simulation process, is developed on the platform of OGRE and integrated into the system interface in form of ActiveX control. Finally, a case study has been conducted and the results have been compared with the results of an existing model to show the reliability and capacity of AutoEscape simulation.

[1]  Nicolas Marmaras,et al.  Design of formative evacuation plans using agent-based simulation , 2007 .

[2]  N. Collier,et al.  Geometry representation, modification and iterative design using RKEM , 2007 .

[3]  D. Elliott,et al.  Football stadia disasters in the United Kingdom: learning from tragedy? , 1993 .

[4]  F. Benjamin Zhan,et al.  Agent-based modelling and simulation of urban evacuation: relative effectiveness of simultaneous and staged evacuation strategies , 2008, J. Oper. Res. Soc..

[5]  Ardeshir Mahdavi,et al.  Automated generation of nodal representations for complex building geometries in the SEMPER environment , 2000 .

[6]  Ardeshir Mahdavi,et al.  From Building Design Representations to Simulation Domain Representations: An Automated Mapping Solution for Complex Geometries , 1998 .

[7]  Yohei Murakami,et al.  Multi-agent simulation for crisis management , 2002, Proceedings. IEEE Workshop on Knowledge Media Networking.

[8]  Ren Aizhu.  Multi-level collaboration-based simulation of crowd evacuation , 2008 .

[9]  Joshua M. Epstein,et al.  Growing Artificial Societies: Social Science from the Bottom Up , 1996 .

[10]  R. Lawson.  Beverly Hills: The Anatomy of a Nightclub Fire , 1984 .

[11]  Kincho H. Law,et al.  Human and social behavior in computational modeling and analysis of egress , 2006 .

[12]  Tony White,et al.  Agent-Based Modelling of Forces in Crowds , 2004, MABS.

[13]  Edwin R. Galea,et al.  A systematic comparison of buildingEXODUS predictions with experimental data from the Stapelfeldt trials and the Milburn House evacuation , 2005 .