A Study of Unmanned Aerial Vehicle Routing for Drugs and Medical Supplies Transportation in Flooded Areas by Using Heuristics Approach

EasyChair Preprint 12429

Abstract

This research is the study on the unmanned aerial vehicle routing for drugs and medical supplies transportation in flooded areas where other vehicles are difficult to access, by simulating flooded areas in Bangkok, Thailand under the loading capacity limitation of the unmanned aerial vehicle considering the weight and quantity of drugs and medical supplies for the shortest routing and timing. The researchers have chosen the vehicle routing using a saving algorithm by Clark & Wright as it is not too complicated and good enough for finding answers in a limited time based on a fast calculation and is suitable for flooded areas. The researchers have simulated a distribution center of drugs and medical supplies and 70 locations of disaster victims by using the unmanned aerial vehicle of the community in Bangkok, Thailand, as a routing model. The result revealed that routing of 70 locations was a total of 12.68 kilometers which is time effective for routing appropriately and the air force could implement it as a guideline for the unmanned aerial vehicle routing for drugs and medical supplies transportation in flooded areas or other emergencies for helping people in the future.

Keyphrases: Geographic Information Systems, Heuristics Approach, Unmanned Aerial Vehicle, Vehicle Routing Problem

@booklet{EasyChair:12429,
  author    = {Chanicha Moryadee and Kiatkulchai Jittaer and Natpasaya Setthachotsombut},
  title     = {A Study of Unmanned Aerial Vehicle Routing for Drugs and Medical Supplies Transportation in Flooded Areas by Using Heuristics Approach},
  howpublished = {EasyChair Preprint 12429},
  year      = {EasyChair, 2024}}