EscapeWildFire: Assisting People to Escape Wildfires in Real-Time
| Autor: | Ian R. Cole, Wouter Couwenbergh, Andreas Kamilaris, Jesper C. Provoost, Jean Baptiste Filippi, Evi Demetriou, Chirag Padubidri, Savvas Karatsiolis |
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| Přispěvatelé: | Sciences pour l'environnement (SPE), Centre National de la Recherche Scientifique (CNRS)-Université Pascal Paoli (UPP) |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Correctness Ubiquitous computing 010504 meteorology & atmospheric sciences Computer science Computer Vision and Pattern Recognition (cs.CV) Mobile app Computer Science - Computer Vision and Pattern Recognition 020101 civil engineering 02 engineering and technology Escape routes Fire propagation model 01 natural sciences Wildfires 0201 civil engineering Computer Science - Computers and Society 11. Sustainability Computers and Society (cs.CY) Code (cryptography) ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences business.industry Global warming Environmental resource management Vegetation [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation 13. Climate action Pervasive systems business |
| Zdroj: | PerCom Workshops 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Mar 2021, Kassel, Germany. pp.129-134, ⟨10.1109/PerComWorkshops51409.2021.9431119⟩ |
| DOI: | 10.48550/arxiv.2102.11558 |
| Popis: | 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. Comment: 6th IEEE International Workshop on Pervasive Context-Aware Smart Cities and Intelligent Transport System (PerAwareCity), Proc. of PerCom 2021, Kassel, Germany, March, 2021 |
| Databáze: | OpenAIRE |
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