Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)

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Study of Unmanned Aerial Vehicle Scheduling Disaster Rescue System

Authors
Zhengyu Zhou, Shuangzhi Li, Qingyuan Zeng
Corresponding Author
Zhengyu Zhou
Available Online July 2019.
DOI
10.2991/iccia-19.2019.63How to use a DOI?
Keywords
Integer programming, Nonlinear unconstrained extremum model, DroneGo disaster response system, Shortest path algorithm.
Abstract

This paper designs to develop a transportable disaster response system named "DroneGo" through the deployment of drones, medical packages and containers to solve the problem of medical relief in the face of hurricane in Puerto Rico. Firstly, this paper aims to carry as many medical packages as possible. With the requirements of medical packages in disaster areas and the upper limit of the volume of ISO containers as constraints, adorned fleet and a set of medical packages meeting the requirements of Puerto Rico’s hurricane scenario are obtained by using the integer programming model. Secondly, two optimal locations for the DroneGo disaster response system container were determined using the non-linear optimization, so as to be able to perform medical supply delivery and video reconnaissance on the road network. Finally, simulated annealing algorithm and shortest path algorithm are adopted to plan the delivery route, schedule and flight plan of the drone. Based on the analysis of the above problems, this paper establishes a viable "DroneGo" transportable disaster response system. Furthermore, in case of future hurricane disasters exceeding the scale of existing disasters, the system established in this paper can still meet the medical relief needs brought by disasters after some minor adjustments.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
Series
Advances in Computer Science Research
Publication Date
July 2019
ISBN
978-94-6252-760-7
ISSN
2352-538X
DOI
10.2991/iccia-19.2019.63How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

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TY  - CONF
AU  - Zhengyu Zhou
AU  - Shuangzhi Li
AU  - Qingyuan Zeng
PY  - 2019/07
DA  - 2019/07
TI  - Study of Unmanned Aerial Vehicle Scheduling Disaster Rescue System
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 409
EP  - 413
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.63
DO  - 10.2991/iccia-19.2019.63
ID  - Zhou2019/07
ER  -