A predictive multistage postdisaster damage assessment framework for drone routing | Kütüphane.osmanlica.com

A predictive multistage postdisaster damage assessment framework for drone routing

İsim A predictive multistage postdisaster damage assessment framework for drone routing
Yazar Adsanver, Birce, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık
Basım Tarihi: 2024-01
Basım Yeri - Wiley
Konu Damage assessment, Drone routing, Humanitarian operations, Imputation
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 0969-6016
Kayıt Numarası a2fbc46d-f403-448b-9e14-488a6d347daa
Lokasyon Industrial Engineering
Tarih 2024-01
Notlar TÜBİTAK
Örnek Metin This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an assessment period. In the initial phase, the problem involves determining areas to be scanned by each drone and the optimal sequence for visiting these selected areas. We have adapted an electric vehicle routing formulation and devised a variable neighborhood descent heuristic for this phase. In the second phase, information collected from the scanned areas is employed to predict the damage status of the unscanned areas. We have introduced a novel, fast, and easily implementable imputation policy for this purpose. To evaluate the performance of our approach in real-life disasters, we develop a case study for the expected 7.5 magnitude earthquake in Istanbul, Turkey. Our numerical study demonstrates a significant improvement in response time and priority-based metrics.
DOI 10.1111/itor.13429
Kaynağa git Özyeğin Üniversitesi Özyeğin Üniversitesi
Özyeğin Üniversitesi Özyeğin Üniversitesi
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A predictive multistage postdisaster damage assessment framework for drone routing

Yazar Adsanver, Birce, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık
Basım Tarihi 2024-01
Basım Yeri - Wiley
Konu Damage assessment, Drone routing, Humanitarian operations, Imputation
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 0969-6016
Kayıt Numarası a2fbc46d-f403-448b-9e14-488a6d347daa
Lokasyon Industrial Engineering
Tarih 2024-01
Notlar TÜBİTAK
Örnek Metin This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an assessment period. In the initial phase, the problem involves determining areas to be scanned by each drone and the optimal sequence for visiting these selected areas. We have adapted an electric vehicle routing formulation and devised a variable neighborhood descent heuristic for this phase. In the second phase, information collected from the scanned areas is employed to predict the damage status of the unscanned areas. We have introduced a novel, fast, and easily implementable imputation policy for this purpose. To evaluate the performance of our approach in real-life disasters, we develop a case study for the expected 7.5 magnitude earthquake in Istanbul, Turkey. Our numerical study demonstrates a significant improvement in response time and priority-based metrics.
DOI 10.1111/itor.13429
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