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Title An IoT-based Infrastructure to Enhance Self-Evacuations in Natural Hazardous Events
Authors Mariano Finochietto, Matías Micheletto, Gabriel Eggly, Roger Pueyo, Rodrigo Santos, Sergio Ochoa, Roc Meseguer, Javier Orozco
Publication date 2022
Abstract Regardless of the extensive research conducted on
evacuations, the instrumentation of these processes still represents an open
issue for first response organizations. Self-evacuation of civilians that
follows evacuation plans has shown to be feasible as early response to
several natural disasters; however, the typical lack of interaction
capability of the evacuees with first response organizations and emergency
managers jeopardizes the effectiveness of these processes. This article
proposes an IoT-based infrastructure that supports self-evacuation of
civilians in mass processes, allowing people to participate as information
providers and consumers. This infrastructure is the backbone of an ambient
intelligence system used as a bridge between evacuees, first response units,
and the emergency operation center managing the process. Depending on the
people location and the status of the area, the system implements
breadcrumbs that guide people to shelters and safe places. The proposed
infrastructure includes (1) an architecture that captures the core design
aspects of the solution and makes it reusable for other researchers, (2) an
implementation of the system based on Raspberry Pi 3 devices with LoRa radio
connectivity, (3) a mobile application that allows evacuees to interact with
the evacuation system, and (4) a simplified algorithm to support the
deployment of the IoT-based infrastructure into an urban area. The solution
was evaluated using real measurements and simulations, and the obtained
results are highly encouraging.
Pages 1461-1478
Volume 26
Journal name Personal and Ubiquitous Computing
Publisher Springer (New York, NY, USA)
Reference URL View reference page