Disaster Response Simulation by Drones Using Group Decision Making Model BRT

EasyChair Preprint 1806

Abstract

In recent years, the use of drones in harsh environments has attracted attention. There is an expectation that a human's complex work can be substituted by integrating the limited capability of drones by forming a swarm by making use of their high mobility. To achieve this system we discuss corrective decision making of swarm. When instructions from a human operator cannot be obtained, the drone swarm needs to judge the situation on the site and take appropriate coordinated action. In this paper, it is shown that disaster response can be dealt by drones that perform tasks continuously while changing the three priorities of patrol, firefighting, and supply depending on the energy status of the drone. The conventional BRT model lacks a part to estimate the evaluation of options, and it has not been easy to use for practical problems as discussed here.

Keyphrases: a collection of drones, best-of-n, decision-making model, disaster response, distributed decision making, limited information processing ability

@booklet{EasyChair:1806,
  author    = {Naoya Horio and Hiroaki Aritomi and Masao Kubo and Hiroshi Sato},
  title     = {Disaster Response Simulation by Drones Using Group Decision Making Model BRT},
  howpublished = {EasyChair Preprint 1806},
  year      = {EasyChair, 2019}}