Published May 25, 2021 | Version Accepted pre-print
Conference paper Open

EscapeWildFire: Assisting People to Escape Wildfires in Real-Time

  • 1. University of Twente, Enschede, The Netherlands
  • 2. Centre national de la recherche scientifique (CNRS) SPE, Universit di Corsica, France
  • 3. CYENS Center of Excellence, Nicosia, Cyprus


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.


This work has been partly supported by the project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 739578 (RISE – Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2) and the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy.



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Additional details


RISE – Research Center on Interactive Media, Smart System and Emerging Technologies 739578
European Commission