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Authors: Marcos Calle 1 ; Jose Luis Andrade-Pineda 2 ; Pedro Luis González-R 1 ; Jose Miguel Leon-Blanco 1 and David Canca Ortiz 1

Affiliations: 1 Department of Industrial Organization and Enterprise Management I, University of Seville, Cº Descubrimientos, Seville and Spain ; 2 Robotic, Vision and Control Group, University of Seville, Cº Descubrimientos, Seville and Spain

ISBN: 978-989-758-327-8

Keyword(s): Genetic Algorithm, UAV, Humanitarian Mission, Disaster Area.

Abstract: The collapse of infrastructures is very often a complicating factor for the early emergency actuations after a disaster. A proper plan to better cover the needs of the affected people within the disaster area while maintaining life-saving relief operations is mandatory hence. In this paper, we use a drone for flying over a set of difficult-to-access locations for imaging issues to get information to build a risk assessment as the earliest stage of the emergency operations. While the drone provides the flexibility required to visit subsequently a sort of isolated locations, it needs a commando vehicle in ground for (i) monitoring the deployment of operations and (ii) being a recharging station where the drone gets fresh batteries. This work proposes a decision-making process to plan the mission, which is composed by the ground vehicle stopping points and the sequence of locations visited for each drone route. We propose a Genetic Algorithm (GA) which has proven to be helpful in finding good solutions in short computing times. We provide experimental analysis on the factors effecting the performance of the output solutions, around an illustrative test instance. Results show the applicability of these techniques for providing proper solutions to the studied problem. (More)

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Paper citation in several formats:
Calle, M.; Andrade-Pineda, J.; González-R, P.; Leon-Blanco, J. and Ortiz, D. (2018). A Tandem Drone-ground Vehicle for Accessing Isolated Locations for First Aid Emergency Response in Case of Disaster.In Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-327-8, pages 289-296. DOI: 10.5220/0007230702890296

@conference{ijcci18,
author={Marcos Calle. and Jose Luis Andrade{-}Pineda. and Pedro Luis González{-}R. and Jose Miguel Leon{-}Blanco. and David Canca Ortiz.},
title={A Tandem Drone-ground Vehicle for Accessing Isolated Locations for First Aid Emergency Response in Case of Disaster},
booktitle={Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2018},
pages={289-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007230702890296},
isbn={978-989-758-327-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - A Tandem Drone-ground Vehicle for Accessing Isolated Locations for First Aid Emergency Response in Case of Disaster
SN - 978-989-758-327-8
AU - Calle, M.
AU - Andrade-Pineda, J.
AU - González-R, P.
AU - Leon-Blanco, J.
AU - Ortiz, D.
PY - 2018
SP - 289
EP - 296
DO - 10.5220/0007230702890296

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