EscapeWildFire: Assisting People to Escape Wildfires in Real-Time
- URL: http://arxiv.org/abs/2102.11558v1
- Date: Tue, 23 Feb 2021 08:58:37 GMT
- Title: EscapeWildFire: Assisting People to Escape Wildfires in Real-Time
- Authors: Andreas Kamilaris, Jean-Baptiste Filippi, Chirag Padubidri, Jesper
Provoost, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh and Evi Demetriou
- Abstract summary: This paper presents EscapeWildFire, a mobile application connected to a backend system which models and predicts wildfire geographical progression.
A small pilot indicates the correctness of the system. The code is open-source; fire authorities around the world are encouraged to adopt this approach.
- Score: 1.978884131103313
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Over the past couple of decades, the number of wildfires and area of land
burned around the world has been steadily increasing, partly due to climatic
changes and global warming. Therefore, there is a high probability that more
people will be exposed to and endangered by forest fires. Hence there is an
urgent need to design pervasive systems that effectively assist people and
guide them to safety during wildfires. This paper presents EscapeWildFire, a
mobile application connected to a backend system which models and predicts
wildfire geographical progression, assisting citizens to escape wildfires in
real-time. A small pilot indicates the correctness of the system. The code is
open-source; fire authorities around the world are encouraged to adopt this
approach.
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