Drone routing for post-disaster damage assessment

Name: Drone routing for post-disaster damage assessment
Author: Adsanver, Birce, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık

İsim	Drone routing for post-disaster damage assessment
Yazar	Adsanver, Birce, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık
Basım Tarihi:	2021
Basım Yeri	- Springer
Konu	Constructive heuristic, Damage assessment, Drone, Post-disaster, Routing
Tür	Kitap
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2-s2.0-85102509142
Kayıt Numarası	6c35eec6-d017-479c-ab81-8cbdb42aff42
Lokasyon	Industrial Engineering
Tarih	2021
Örnek Metin	We consider drones to support post-disaster damage assessment operations when the disaster-affected area is divided into grids and grids are clustered based on their attributes. Specifically, given a set of drones and a limited time for assessments, we address the problem of determining the grids to scan by each drone and the sequence of visits to the selected grids. We aim to maximize the total priority score collected from the assessed grids while ensuring that the pre-specified coverage ratio targets for the clusters are met. We adapt formulations from the literature developed for electric vehicle routing problems with recharging stations and propose two alternative mixed-integer linear programming models for our problem. We use an optimization solver to evaluate the computational difficulty of solving different formulations and show that both formulations perform similarly. We also develop a practical constructive heuristic to solve the proposed drone routing problem, which can find high-quality solutions rapidly. We evaluate the performance of the heuristic with respect to both mathematical models in a variety of instances with the different numbers of drones and grids.
DOI	10.1007/978-3-030-64973-9_1

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Drone routing for post-disaster damage assessment

Yazar Adsanver, Birce, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık

Basım Tarihi 2021

Basım Yeri - Springer

Konu Constructive heuristic, Damage assessment, Drone, Post-disaster, Routing

Tür Kitap

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2-s2.0-85102509142

Kayıt Numarası 6c35eec6-d017-479c-ab81-8cbdb42aff42

Lokasyon Industrial Engineering

Tarih 2021

Örnek Metin We consider drones to support post-disaster damage assessment operations when the disaster-affected area is divided into grids and grids are clustered based on their attributes. Specifically, given a set of drones and a limited time for assessments, we address the problem of determining the grids to scan by each drone and the sequence of visits to the selected grids. We aim to maximize the total priority score collected from the assessed grids while ensuring that the pre-specified coverage ratio targets for the clusters are met. We adapt formulations from the literature developed for electric vehicle routing problems with recharging stations and propose two alternative mixed-integer linear programming models for our problem. We use an optimization solver to evaluate the computational difficulty of solving different formulations and show that both formulations perform similarly. We also develop a practical constructive heuristic to solve the proposed drone routing problem, which can find high-quality solutions rapidly. We evaluate the performance of the heuristic with respect to both mathematical models in a variety of instances with the different numbers of drones and grids.

DOI 10.1007/978-3-030-64973-9_1