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Journal of Computer Science
Article . 2015 . Peer-reviewed
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Journal of Computer Science
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Article . 2022
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The Utilisation of Dijkstra’s Algorithm to Assist Evacuation Route in Higher and Close Building

Authors: Nor Amalina Mohd Sabri; Abd. Samad Hasan Basari; Burairah Hussin; Khyrina Airin Fariza Abu Samah;

The Utilisation of Dijkstra’s Algorithm to Assist Evacuation Route in Higher and Close Building

Abstract

Corresponding Author: Nor Amalina Mohd Sabri Center for Advanced Computing Technology (C-ACT), Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia Email: noramalinamohdsabri@gmail.com Abstract: Finding a shortest path in a high rise building during critical incident or evacuation is facing two main issues which are evacuees find difficulties to find the best routes and their behavior makes the process more difficult. These problems are important since it is related to the human’s life. By providing the shortest path and control the evacuee behavior, these can lead to successfulness of evacuation. To overcome these issues, two main objectives have been carried on which is initiated by identifying the shortest path algorithm for evacuation. Then follows by design and develop an evacuation preparedness model via shortest path algorithm to choose a suitable exit route to evacuate. Three steps are involved to achieve the objectives. The first step is Building Layout Plan, followed by creating the Visibility Graph and finally implements Dijkstra Algorithm to find the shortest path. Based on the experimental study, the result shows that Dijkstra Algorithm has produced a significant route to exit the building safely. Even though there are other factors need to be considered, this preliminary result has shown a promising outcome which can be extended to improve the robustness of the algorithm. In conclusion, the obtained shortest path is believed can assist evacuee to choose a suitable exit route to evacuate safely.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Average
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