EscapeWildFire: Assisting People to Escape Wildfires in Real-Time

Andreas Kamilaris; Jesper Provoost; Jean-Baptiste Filippi; Chirag Padubidri; Savvas Karatsiolis; Ian Cole; Wouter Couwenbergh; Evi Demetriou

doi:10.48550/arXiv.2102.11558

EscapeWildFire: Assisting People to Escape Wildfires in Real-Time

Andreas Kamilaris, Jesper Provoost, Jean-Baptiste Filippi, Chirag Padubidri, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh, Evi Demetriou

Research output: Working paper › Preprint › Academic

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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.

Original language	English
Publisher	ArXiv.org
DOIs	https://doi.org/10.48550/arXiv.2102.11558
Publication status	Published - 23 Feb 2021

Keywords

cs.CY
cs.CV

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10.48550/arXiv.2102.11558Licence: CC BY

ArticleFinal published version, 5.04 MBLicence: CC BY

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EscapeWildFire: Assisting People to Escape Wildfires in Real-Time
Kamilaris, A., Provoost, J., Filippi, J. B., Padubidri, C., Karatsiolis, S., Cole, I., Couwenbergh, W. & Demetriou, E., 22 Mar 2021, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021. Piscataway, NJ: IEEE, p. 129-134 6 p. 9431119
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Cite this

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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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AU - Karatsiolis, Savvas

AU - Cole, Ian

AU - Couwenbergh, Wouter

AU - Demetriou, Evi

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AB - 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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EscapeWildFire: Assisting People to Escape Wildfires in Real-Time

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EscapeWildFire: Assisting People to Escape Wildfires in Real-Time

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