Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Agent-based integration of rescue systems for first responders

Authors: Z. Balogh; E. Gatial; O. Habala; L. Hluchy;

Agent-based integration of rescue systems for first responders

Abstract

Routine operations of emergency first responders are usually well managed. The situation is different for mass casualty emergencies where more people and properties are threatened. In such situations there are no predefined plans in place and mitigation is solved mostly through crisis management. Teams managing such acute accidents are often working in information insufficiency. Timely information exchange between involved agencies, common understanding of data and fast provision of knowledge can save lives and protect properties. Useful information is heterogeneous and is distributed across many organizations in disparate information sources in many formats with different access policies and in varying quality. The information sources range from sensors deployed on incidence sites, publicly available data sources, corporate legacy systems, documents stored on remote locations to human end-users providing information using mobile devices. This article addresses operational challenges of First Responders and complementary challenges in accessing and analyzing information from multiple sources to provide advanced capabilities for command and control in emergency response. Herein we propose to use an agent-based infrastructure for supporting such interoperability. We propose to build the framework amplifying an agent infrastructure developed in scope of the SECRICOM EU integrated project. In this article we focus mainly on the conceptual architecture of such integration framework.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!