Emergency Response with Proactive Crowd-Sourcing Reverse-111

Vaidyanathan, Anu

doi:10.1007/978-3-642-21694-7_6

Cited by 1 publication

(2 citation statements)

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“…Several requirements exist for such games including a valid environment in which to train, practice and evaluate co-ordination amongst distributed entities, amongst various administrative domains. In general, these games can be easily extended to being simulations [40,41] when played in single-player mode and therefore extend in functionality to studying performance of various approaches to live emergency response. The background of this work lies in a body of work that looked at early warning systems [38] which relied heavily on a prediction-based model to issue warnings to affected areas.…”

Section: A Related Workmentioning

confidence: 99%

“…Simulations in the field of Emergency Management, which adapt an end-to-end approach [40,41] are important for a number of end uses including training personnel, understanding how administrative boundaries affect resource sharing and analyzing how to optimize resource-allocation and response time. Improving the efficiency of first responders is of greatest importance to response teams.…”

Section: Introductionmentioning

confidence: 99%

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Test-Bed for Emergency Management Simulations

Vaidyanathan¹

2010

IJACSA

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Abstract-We present a test-bed for Emergency ManagementSimulations by contrasting two prototypes we have built, CAVIAR and Reverse 111. We outline the desirable design principles that guide our choices for simulating emergencies and implement these ideas in a modular system, which utilizes proactive crowd-sourcing to enable emergency response centers to contact civilians co-located with an emergency, to provide more information about the events. This aspect of proactive crowd-sourcing enables Emergency response centers to take into account that an emergency situation's inherent nature is dynamic and that initial assumptions while deploying resources to the emergency may not hold, as the emergency unfolds. A number of independent entities, governmental and non-governmental are known to interact while mitigating emergencies. Our test-bed utilizes a number of agents to simulate various resource sharing policies amongst different administrative domains and non-profit civilian organizations that might pool their resources at the time of an emergency. A common problem amongst first responders is the lack of interoperability amongst their devices. In our test-bed, we integrate live caller data obtained from traces generated by Telecom New Zealand, which tracks cell-phone users and their voice and data calls across the network, to identify co-located crowds. The test-bed has five important components including means to select and simulate Events, Resources and Crowds and additionally provide a visual interface as part of a massive online multi-player game to simulate Emergencies in any part of the world. We also present our initial evaluation of some resource sharing policies in our intelligent agents, which are part of our test-bed.

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Section: A Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%