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arXiv · 2102.11558

EscapeWildFire: Assisting People to Escape Wildfires in Real-Time

Andreas Kamilaris·Jean-Baptiste Filippi·Chirag Padubidri·Jesper Provoost·Savvas Karatsiolis·Ian Cole·Wouter Couwenbergh·Evi Demetriou
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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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Andreas Kamilaris, Jean-Baptiste Filippi, Chirag Padubidri, Jesper Provoost, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh, Evi Demetriou. 2021-02-23. EscapeWildFire: Assisting People to Escape Wildfires in Real-Time. https://arxiv.org/abs/2102.11558

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