June 15, 2014
June 15, 2014
June 18, 2014
Computing & Information Technology
24.749.1 - 24.749.12
Information Technology for Communities: Development of a Web-based 3D Visualization and Cluster Computing System for Disaster Management Authors Institution AddressAbstractNatural disasters can cause huge loss of life, enormous amounts of property damage to the localcommunities. Although it is impossible to avoid the natural disasters, human sufferings can bereduced by adopting information technologies to the disaster response missions. In this paper, wedeveloped a web-based 3D visualization and cluster computing system to facilitate and expeditethe resource distribution process during a disaster. FEMA’s Emergency Support Function (ESF) 1presents the guidelines to coordinate transportation request, assess damage to transportationinfrastructures, and provide alternate transportation services. FEMA ESF 6 specifies the guidingprinciples to coordinate the distribution of emergency relief supplies such as shelter, food andemergency first aid to the disaster victims. Our disaster management system utilizes state-of-the-artcomputing cluster with 16 nodes of Intel Xeon-E5 processors (16 cores per node) to process theemergency supply requests from the disaster victims, and calculate the optimal resourcedistribution routes with the consideration of the damaged transportation infrastructures. Theoptimized resource distribution problem was solved with distributed all pair shortest pathalgorithm and the vehicle routing algorithm. The web-based 3D visualization system wasdeveloped with Google earth engine to display the disaster areas, affected households and resourcedistribution routes. The computation result from the cluster was automatically uploaded to theweb-based 3D visualization system, enabling the users to immediately see the optimal resourcedistribution routes in a virtual 3D environment. The visualization system is flexible and can beeasily adapted to a Google earth enabled mobile devices, desktop monitors as well as a Caveautomatic virtual environment (CAVE). A historical disaster data from the Northwest Indianawas used to demonstrate the functionalities of the developed system.
Jin, G., & Dekker, G. A., & Moreland, J., & Nicolai, B. J. (2014, June), Information Technology for Communities: Development of a Web-based 3-D Visualization and Cluster Computing System for Disaster Management Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20641
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