A Visual Analytics System for Route Planning and Emergency Crowd Evacuation
نویسندگان
چکیده
منابع مشابه
Visual Analytics for Dynamic Evacuation Planning
We use visual analytics to assist human experts in the verification of evacuation schedules and enable them to identify the bottle-necks in building evacuation. The user can change parameters, such as the number of occupants present in the rooms, the parametric settings for fire simulation, the building design, etc. and analyze their effect on evacuation. Visualization of the people flow in the...
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Disastrous situations, either naturally (such as fires, earthquake, rising tides, hurricane) or man-made (such as terrorist bombings, chemical spills, and so on), have claimed the lives of thousands. As such, optimizing the evacuation operations during an emergency situation would require an effective crowd evacuation plan, which is acknowledged to be one of the vital studies of the societal re...
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In a formative user study, we evaluated the requirements of visual analytics for dynamic evacuation planning. To this end, we created a prototype that implements the visual analytics methodology and is able to compute, visualize, and interact with evacuation routes in emergency situations in buildings. Using this prototype, we conducted an expert survey including a psychologist, a consultant fo...
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Shashi Shekhar Qingsong Lu, and Sangho Kim AHPCRC-UM The goal of evacuation route planning is to identify routes that canbe used to minimize the time required to move vulnerable populations to safe destinations. Evacuation route planning is a key component of effective disaster emergency management and homeland defense preparation. As such, it is an important challenge facing the U.S. Army, whi...
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Crowd simulation is rapidly becoming a standard tool for evacuation planning and evaluation. However, the many crowd models in the literature are structurally different, and few have been rigorously calibrated against real-world egress data, especially in emergency situations. In this paper we describe a procedure to quantitatively compare different crowd models or between models and real-world...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2020
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2020.0110284