A Speedup Simulation-based Fire Prediction for Online Evacuation Planning

Hung Yun Chen, Pei Hsuan Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fire simulations are used to evaluate the spread of fires and check the safety of environments. To make the simulation realistic, the fire simulation must consider numerous physical and chemical reactions with complicate and time-consuming computations. It limits the fire simulations being used for real-time prediction when there is a fire. This paper presents a real-time fire prediction approach based on fire simulations. Our approach uses fire simulation to collect training data for building a smoke spread model of fire. The model is used to predict the spread of fire real-time which can help online evacuation planning more accurate and realistic, such as help people avoid dangerous area.

Original languageEnglish
Title of host publicationProceedings - 2020 International Computer Symposium, ICS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-78
Number of pages6
ISBN (Electronic)9781728192550
DOIs
Publication statusPublished - 2020 Dec
Event2020 International Computer Symposium, ICS 2020 - Tainan, Taiwan
Duration: 2020 Dec 172020 Dec 19

Publication series

NameProceedings - 2020 International Computer Symposium, ICS 2020

Conference

Conference2020 International Computer Symposium, ICS 2020
CountryTaiwan
CityTainan
Period20-12-1720-12-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Computational Mathematics

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