Post-disaster damage assessment using drones in a remote communication setting

Name: Post-disaster damage assessment using drones in a remote communication setting
Author: Yücesoy, Ecem, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık

Title	Post-disaster damage assessment using drones in a remote communication setting
Author	Yücesoy, Ecem, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık
Publication Date:	2023
Publication Place	- Springer
Subject	Damage assessment, Disaster response, Drone, Remote communication, Routing
Type	Book
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	1931-6828
Record ID	936ac322-52ba-4543-a5b9-74dab0989843
Library Location	Industrial Engineering
Date	2023
Notes	TÜBİTAK
Sample Text	After a disaster event, obtaining fast and accurate information about the damaged built-in structure is crucial for planning life-saving response operations. Unmanned aerial vehicles (UAVs), known otherwise as drones, are increasingly utilized to support damage assessment activities as a part of humanitarian operations. In this study, we focus on a post-disaster setting where the drones are utilized to scan a disaster-affected area to gather information on the damage levels. The affected area is assumed to be divided into grids with varying criticality levels. We consider en-route recharge stations to address battery limitations and remote information transmission to a single operation center. We address the problem of determining the routes of a set of drones across a given assessment horizon to maximize the number of visited grids considering their criticality levels and transmit the collected assessment information as quickly as possible along the routes. We propose a mixed integer linear programming formulation to solve this problem and also adapt it to a setting where the information transmission is only possible at the end of the routes for comparison purposes. We propose performance metrics to evaluate the performance of our model and present results on small-sized instances with sensitivity analysis. We present results that highlight the tradeoff between attained coverage (visiting more grids) and response time (the timing of information transmission in the scanned areas). Moreover, we show the advantage of en-route data transmission compared to the setting with data transmission at the end of the routes.
DOI	10.1007/978-3-031-39542-0_15
Cilt	205

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Post-disaster damage assessment using drones in a remote communication setting

Author Yücesoy, Ecem, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık

Publication Date 2023

Publication Place - Springer

Subject Damage assessment, Disaster response, Drone, Remote communication, Routing

Type Book

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 1931-6828

Record ID 936ac322-52ba-4543-a5b9-74dab0989843

Library Location Industrial Engineering

Date 2023

Notes TÜBİTAK

Sample Text After a disaster event, obtaining fast and accurate information about the damaged built-in structure is crucial for planning life-saving response operations. Unmanned aerial vehicles (UAVs), known otherwise as drones, are increasingly utilized to support damage assessment activities as a part of humanitarian operations. In this study, we focus on a post-disaster setting where the drones are utilized to scan a disaster-affected area to gather information on the damage levels. The affected area is assumed to be divided into grids with varying criticality levels. We consider en-route recharge stations to address battery limitations and remote information transmission to a single operation center. We address the problem of determining the routes of a set of drones across a given assessment horizon to maximize the number of visited grids considering their criticality levels and transmit the collected assessment information as quickly as possible along the routes. We propose a mixed integer linear programming formulation to solve this problem and also adapt it to a setting where the information transmission is only possible at the end of the routes for comparison purposes. We propose performance metrics to evaluate the performance of our model and present results on small-sized instances with sensitivity analysis. We present results that highlight the tradeoff between attained coverage (visiting more grids) and response time (the timing of information transmission in the scanned areas). Moreover, we show the advantage of en-route data transmission compared to the setting with data transmission at the end of the routes.

DOI 10.1007/978-3-031-39542-0_15

Cilt 205