Brief communication: Vehicle routing problem and UAV application in the post-earthquake scenario

Cannioto, Marco; D'Alessandro, Antonino; Lo Bosco, Giosuè; Scudero, Salvatore; Vitale, Giovanni

doi:https://doi.org/10.5194/nhess-17-1939-2017

Articles | Volume 17, issue 11

Nat. Hazards Earth Syst. Sci., 17, 1939–1946, 2017

https://doi.org/10.5194/nhess-17-1939-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: The use of remotely piloted aircraft systems (RPAS) in monitoring...

Nat. Hazards Earth Syst. Sci., 17, 1939–1946, 2017

https://doi.org/10.5194/nhess-17-1939-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 11

Brief communication 15 Nov 2017

Brief communication | 15 Nov 2017

Brief communication: Vehicle routing problem and UAV application in the post-earthquake scenario

Marco Cannioto et al.

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Final revised paper (published on 15 Nov 2017)
Preprint (discussion started on 13 Jun 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review', Anonymous Referee #1, 13 Jul 2017
- AC1: 'Reply to reviewer's comment', Salvatore Scudero, 18 Jul 2017
RC2: 'Brief communication: Vehicle routing problem and UAV application in the post-earthquake scenario', Anonymous Referee #2, 08 Sep 2017
- AC2: 'Reply to RC2', Salvatore Scudero, 12 Sep 2017
AC3: 'Revised manuscript', Salvatore Scudero, 18 Sep 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (further review by Editor) (20 Sep 2017) by F. Nex

AR by Salvatore Scudero on behalf of the Authors (21 Sep 2017) Author's response Manuscript

ED: Publish as is (11 Oct 2017) by F. Nex

Short summary

Immediately after an earthquake it is crucial to perform the fastest recognition of the damaged area to rescue as much people is possible and to assess and map the damage scenario. We apply the vehicle routing problem (VRP) to a fleet of unmanned aerial vehicles (UAVs) to find the shortest routes and the best take-off sites. The simulation, performed with different autonomy ranges, is carried out in the town of Acireale (Italy), where a real-time accelerometric network has been installed.