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Practical Methodology of Cognitive Tasks Within a Navigational Assessment
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Directional navigation improves opportunistic communication for emergencies.

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  • 1Intelligent Systems and Networks Group, Department of Electrical and Electronic Engineering, Imperial College, London SW72AZ, UK. kokand@gmail.com.

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A new shortest path algorithm guides evacuees using opportunistic communications (oppcomms) and wearable nodes. This emergency support system (ESS) finds the safest, quickest routes during fires, significantly improving evacuation efficiency.

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Area of Science:

  • Computer Science
  • Emergency Management
  • Network Communications

Background:

  • Traditional evacuation systems often lack real-time guidance.
  • Infrastructure-dependent communication can fail during emergencies.
  • Need for autonomous, adaptable systems in built environments.

Purpose of the Study:

  • Introduce a novel direction-based shortest path algorithm for emergency evacuation.
  • Integrate the algorithm into an autonomous Emergency Support System (ESS).
  • Evaluate the ESS's effectiveness in a simulated hazardous environment.

Main Methods:

  • Developed a shortest path algorithm utilizing opportunistic communications (oppcomms).
  • Employed low-cost wearable mobile nodes for peer-to-peer data exchange.
  • Simulated fire spread in a shopping center using the Distributed Building Evacuation Simulator (DBES).

Main Results:

  • The directional path-finding algorithm demonstrated significant improvements in evacuation.
  • ESS successfully guided evacuees towards the safest and shortest paths.
  • Oppcomms enabled infrastructure-less communication for real-time guidance.

Conclusions:

  • The proposed ESS and its core algorithm offer a viable solution for enhancing building evacuation.
  • Opportunistic communications are effective for autonomous emergency guidance.
  • The system shows potential for improving safety during building emergencies.