Ant Colony Optimisation for Planning Safe Escape Routes

  • Morten Goodwin
  • Ole-Christoffer Granmo
  • Jaziar Radianti
  • Parvaneh Sarshar
  • Sondre Glimsdal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7906)

Abstract

An emergency requiring evacuation is a chaotic event filled with uncertainties both for the people affected and rescuers. The evacuees are often left to themselves for navigation to the escape area. The chaotic situation increases when a predefined escape route is blocked by a hazard, and there is a need to re-think which escape route is safest.

This paper addresses automatically finding the safest escape route in emergency situations in large buildings or ships with imperfect knowledge of the hazards. The proposed solution, based on Ant Colony Optimisation, suggests a near optimal escape plan for every affected person — considering both dynamic spread of hazards and congestion avoidance.

The solution can be used both on an individual bases, such as from a personal smart phone of one of the evacuees, or from a remote location by emergency personnel trying to assist large groups.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Morten Goodwin
    • 1
  • Ole-Christoffer Granmo
    • 1
  • Jaziar Radianti
    • 1
  • Parvaneh Sarshar
    • 1
  • Sondre Glimsdal
    • 1
  1. 1.Department of ICTUniversity of AgderGrimstadNorway

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