A fuzzy logic based optimal network system for the delivery of medical goods via drones and land transport in remote areas

Shio Gai Quek, Ganeshsree Selvachandran, Rohana Sham, Ching Sin Siau, Mohd Hanif Mohd Ramli, Noorsiah Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

2 Citations (Scopus)

Abstract

Land transport in rural areas are characterized by the abundance of road bends, varied road conditions, elevated terrains, and the far distance between each station. Such situations have rendered full-path drone delivery impossible, and thus deliveries using drones must inevitably be combined with land transportation in the whole process. Ever since the Covid-19 outbreak, there has been an unprecedentedly high demand for efficiency in the delivery of medical goods such as vaccines and medicines, especially in rural areas. Such measures prove indispensable in preventing the spread of the disease among all citizens. Conventionally, the abundance of road conditions, the length, and width of paths, and the characteristics of road bends, are considered and analyzed by human staff qualitatively using their experience and personal judgment before deciding on the best delivery path and the optimal network. To overcome the shortcomings of conventional methods, this article proposes a machine learning-based algorithm that considers all the different road conditions as well as the terrain elevations systematically and quantitatively to determine the best delivery path and construct the optimal delivery network system. When combined with drone delivery, our algorithm will also yield the most feasible position for the drone to be deployed and stationed to deliver the goods to the intended destinations, thereby creating a more comprehensive delivery network system.

Original languageEnglish
Title of host publicationIntelligent Systems Design and Applications
Subtitle of host publication21st International Conference on Intelligent Systems Design and Applications (ISDA 2021)
EditorsAjith Abraham, Niketa Gandhi, Thomas Hanne, Tzung-Pei Hong, Tatiane Nogueira Rios, Weiping Ding
Place of PublicationCham Switzerland
PublisherSpringer
Pages1306-1312
Number of pages7
ISBN (Electronic)9783030963088
ISBN (Print)9783030963071
DOIs
Publication statusPublished - 2022
Externally publishedYes
EventInternational Conference on Intelligent Systems Designs and Applications 2021 - Virtual, Online, United States of America
Duration: 13 Dec 202115 Dec 2021
Conference number: 21st
https://link.springer.com/book/10.1007/978-3-030-96308-8 (Proceedings)

Publication series

NameLecture Notes in Networks and Systems
PublisherSpringer
Volume418
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent Systems Designs and Applications 2021
Abbreviated titleISDA 2021
Country/TerritoryUnited States of America
CityVirtual, Online
Period13/12/2115/12/21
Internet address

Keywords

  • Drone dispatch
  • Machine learning
  • Medical goods delivery
  • Most feasible path
  • Road conditions

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