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Reliable and smart decision support system for emergency management based on crowdsourcing information

 
: Villela, Karina; Nass, Claudia; Novais, Renato; Simões, Paulo; Traina, Agma; Rodrigues, Jose; Menendez, Jose Manuel; Kurano, Jorge; Franke, Tobias; Poxrucker, Andreas

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Valencia-García, Rafael (Ed.):
Exploring Intelligent Decision Support Systems : Current State and New Trends
Cham: Springer International Publishing, 2018 (Studies in computational intelligence 764)
ISBN: 978-3-319-74001-0 (Print)
ISBN: 978-3-319-74002-7 (Online)
S.177-198
Englisch
Aufsatz in Buch
Fraunhofer IESE ()
decision support system; RESCUER; emergency management system

Abstract
Command and control centres face the challenge of quickly obtaining accurate information about emergencies they should response to. Conversely, crowdsourcing information and mobile technologies offer great potential for better engaging eyewitnesses in emergency and crisis management processes. This paper describes the vision and the realisation of the RESCUER system, a smart and interoperable decision support system for emergency and crisis management based on mobile crowdsourcing information. Eight evaluation exercises with end users were performed during the project duration, in addition to technical verifications of the individual system components. The results of the evaluation exercises were quite positive and helped to continuously improve and extend the system.

: http://publica.fraunhofer.de/dokumente/N-491697.html