Proceedings of the 34th conference on Winter simulation: exploring new frontiers
ACM SIGGRAPH 2006 Papers
Agent-based systems for disaster management
Communications of the ACM - Emergency response information systems: emerging trends and technologies
Behavioral Intelligence for Geospatial Agents in Urban Environments
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Design and implementation of an agent-based simulation for emergency response and crisis management
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Technical Section: Emergency crowd simulation for outdoor environments
Computers and Graphics
Designing for auditory web access: accessibility and cellphone users
Proceedings of the 2010 International Cross Disciplinary Conference on Web Accessibility (W4A)
Guiding flows for controlling crowds
The Visual Computer: International Journal of Computer Graphics
Creating, updating and validating simulations in a dynamic data-driven application system
Creating, updating and validating simulations in a dynamic data-driven application system
Agent-based simulation for large-scale emergency response: A survey of usage and implementation
ACM Computing Surveys (CSUR)
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This paper presents our approach to developing a proof-of-concept Dynamic Adaptive Disaster Simulation (DADS), a system capable of predicting population movements in large-scale disasters by analyzing real-time cell phone data. It has been difficult for existing computer models to accomplish such tasks --- they are often too inflexible to make realistic forecasts in complex scenarios. This has led to reactive, uninformed emergency response tactics with disastrous consequences. DADS resolves these issues by continuously updating simulations with real-time data. It accomplishes this by tracing movements of cell phone users on a GIS space, then using geospatial simulation algorithms to infer regional preferences. Inferences are incorporated into agent-based simulations which model future population movements through fluid dynamics principles. Due to privacy concerns, this research utilized synthetic data that were generated to mimic the cell phone location data associated with a recent disaster. Validation techniques such as Manhattan distance show that the simulation is both internally and predictively valid. DADS can adaptively generate accurate movement predictions in disaster situations, demonstrating a modeling paradigm that is highly applicable to population modeling and to other disciplines of computer simulation.