Runtime Simulation for Post-Disaster Data Fusion Visualization

Abstract

With regard to the threats of recent natural and man-made disasters, it is important for a control center to be aware of the situation and be able to assess the threat. However, simulating a large amount of post-disaster fused data is a complicated task, and its visualization is even more difficult to achieve with the paradigm of common geo-referencing systems. We have developed a post-disaster monitoring interface that runs in a fusion-based simulation with High Level Architecture/Run Time Infrastructure (HLA/RTI). In our visualization system, damage and recovering activities are presented in a fast GIS vector map with convenient data and display manipulation. All data that comes from the data fusion federates is displayed at run-time and stored for further analysis. In addition, the pattern of time-aggregated data has enabled dynamic visualization, which includes the morphing of the casualty clusters. This feature provides an effective way to keep track of a region so that a user can easily be aware of the emerging trends. A unique approach to multiple views by the integration of 2D and 3D displays of the fused data is also described.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2006
Accession Number
ADA477117

Entities

People

  • James Llinas
  • Matthew Mandiak
  • Peter Scott
  • Pritul Shah
  • Thenkurussi Kesavadas
  • Young‐Seok Kim

Organizations

  • University at Buffalo

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Computer Programming
  • Data Fusion
  • Disaster Management
  • Disasters
  • Emergencies
  • Emergency Response
  • Geographic Information Systems
  • Graphical User Interface
  • Human Systems Integration
  • Human-Machine Interaction
  • Information Systems
  • Simulations
  • Situational Awareness
  • Three Dimensional
  • Two Dimensional
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Distributed Systems and Data Platform Development
  • Emergency Management and Homeland Security.