GIS mapping and shortest-path algorithm for drone-aided flood rescue operations

Schigdar, Ahmad and Zaman, Nafees and Hassan, Raini (2019) GIS mapping and shortest-path algorithm for drone-aided flood rescue operations. In: National Invention and Invention Competition 2019 (NIICe 2019), 2019, Batu Pahat, Johor.

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Abstract

Floods are quite common in Malaysia almost every year which occurs mostly during the monsoon season. Thousands are affected by the floods and rescuers are not always quick and efficient enough to save the majority of the victims. This research aims to implement Geographic Information System (GIS) mapping to identify the major parts of an affected state that are more susceptible to floods and the construction of an optimal shortest path algorithm to conduct the rescue operation.

Item Type:	Proceeding Paper (Invited Papers)
Additional Information:	4964/123335
Uncontrolled Keywords:	Geographic Information System; Shortest-Path Algorithm; K-Means Clustering; Travelling Salesman Problem; Euclidean Distance Algorithm
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr. Raini Hassan
Date Deposited:	29 Sep 2025 10:08
Last Modified:	29 Sep 2025 10:21
URI:	http://irep.iium.edu.my/id/eprint/123335

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