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.
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Region with contiguous pixels of the same colour.
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Acknowledgements
The work reported in this paper was carried out in the RESCUER project, a European-Brazilian collaborative project funded by the European Commission (Grant: 614154) and by the Brazilian National Council for Scientific and Technological Development CNPq/MCTI (Grant: 490084/2013-3).
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Villela, K. et al. (2018). Reliable and Smart Decision Support System for Emergency Management Based on Crowdsourcing Information. In: Valencia-García, R., Paredes-Valverde, M., Salas-Zárate, M., Alor-Hernández, G. (eds) Exploring Intelligent Decision Support Systems. Studies in Computational Intelligence, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-74002-7_9
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