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Adaptive Guidance for Emergency Evacuation for Complex Building Geometries
The guidance system for pedestrians is one of the most critical components of emergency evacuation in complex building geometries in the events of accidents and natural disasters. However, pre-determined, fixed emergency guidance systems provide only static information of evacuation routes to exits and do not respond to the real-time situations. In the cases of large-scale evacuation, these evacuation routes are likely to be congested because a large number of pedestrians attempt to leave the hazardous areas at the same time. To address this problem, this paper proposes a method for planning adaptive emergency evacuation guidance to support the fixed guidance system. The method includes two steps. First, the spatial distribution of the pedestrians is converted into a digital image and the congestion areas in the facility are identified with the techniques of digital image processing. Second, the identified congestion areas are considered as virtual obstacles in addition to the original obstacles, and adaptive guidance that instructs pedestrians to bypass these areas can then be generated.
Adaptive Guidance for Emergency Evacuation for Complex Building Geometries
The guidance system for pedestrians is one of the most critical components of emergency evacuation in complex building geometries in the events of accidents and natural disasters. However, pre-determined, fixed emergency guidance systems provide only static information of evacuation routes to exits and do not respond to the real-time situations. In the cases of large-scale evacuation, these evacuation routes are likely to be congested because a large number of pedestrians attempt to leave the hazardous areas at the same time. To address this problem, this paper proposes a method for planning adaptive emergency evacuation guidance to support the fixed guidance system. The method includes two steps. First, the spatial distribution of the pedestrians is converted into a digital image and the congestion areas in the facility are identified with the techniques of digital image processing. Second, the identified congestion areas are considered as virtual obstacles in addition to the original obstacles, and adaptive guidance that instructs pedestrians to bypass these areas can then be generated.
Adaptive Guidance for Emergency Evacuation for Complex Building Geometries
Chu, Chih-Yuan (author)
International Workshop on Computing in Civil Engineering 2011 ; 2011 ; Miami, Florida, United States
Computing in Civil Engineering (2011) ; 603-610
2011-06-16
Conference paper
Electronic Resource
English
Adaptive Guidance for Emergency Evacuation for Complex Building Geometries
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