Scaling an urban emergency evacuation framework : challenges and practices.
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2014
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Abstract:Critical infrastructure disruption, caused by severe weather events, natural disasters, terrorist
attacks, etc., has significant impacts on urban transportation systems. We built a computational
framework to simulate urban transportation systems under critical infrastructure disruption in
order to aid real-time emergency evacuation. This framework will use large scale datasets to
provide a scalable tool for emergency planning and management. Our framework, World-Wide
Emergency Evacuation (WWEE), integrates population distribution and urban infrastructure
networks to model travel demand in emergency situations at global level. Also, a computational
model of agent-based traffic simulation is used to provide an optimal evacuation plan for traffic
operation purpose [1]. In addition, our framework provides a web-based high resolution
visualization tool for emergency evacuation modelers and practitioners. We have successfully
tested our framework with scenarios in both United States (Alexandria, VA) and Europe (Berlin,
Germany) [2]. However, there are still some major drawbacks for scaling this framework to
handle big data workloads in real time.
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