A Bayesian Network Model for Fire Assessment and Prediction

  • Mehdi Ben Lazreg
  • Jaziar Radianti
  • Ole-Christoffer Granmo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9432)


Smartphones and other wearable computers with modern sensor technologies are becoming more advanced and widespread. This paper proposes exploiting those devices to help the firefighting operation. It introduces a Bayesian network model that infers the state of the fire and predicts its future development based on smartphone sensor data gathered within the fire area. The model provides a prediction accuracy of 84.79 % and an area under the curve of 0.83. This solution had also been tested in the context of a fire drill and proved to help firefighters assess the fire situation and speed up their work.


Bayesian network Indoor fire Smartphone sensors 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Mehdi Ben Lazreg
    • 1
  • Jaziar Radianti
    • 1
  • Ole-Christoffer Granmo
    • 1
  1. 1.Centre for Integrated Emergency ManagementUniversity of AgderGrimstadNorway

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