A predictive multistage postdisaster damage assessment framework for drone routing

العنوان A predictive multistage postdisaster damage assessment framework for drone routing
المؤلف Adsanver, Birce, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık
تاريخ النشر: 2024-01
مكان النشر - Wiley
الموضوع Damage assessment, Drone routing, Humanitarian operations, Imputation
النوع دورية
اللغة الإنجليزية
رقمي نعم
مخطوط لا
المكتبة: جامعة اوزيجين
معرف أصل المكتبة 0969-6016
رقم السجل a2fbc46d-f403-448b-9e14-488a6d347daa
موقع المكتبة Industrial Engineering
التاريخ 2024-01
ملاحظات TÜBİTAK
نص عينة 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
عرض في المصدر جامعة اوزيجين Özyeğin Üniversitesi
Özyeğin Üniversitesi جامعة اوزيجين

A predictive multistage postdisaster damage assessment framework for drone routing

المؤلف Adsanver, Birce, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık
تاريخ النشر 2024-01
مكان النشر - Wiley
الموضوع Damage assessment, Drone routing, Humanitarian operations, Imputation
النوع دورية
اللغة الإنجليزية
رقمي نعم
مخطوط لا
المكتبة جامعة اوزيجين
معرف أصل المكتبة 0969-6016
رقم السجل a2fbc46d-f403-448b-9e14-488a6d347daa
موقع المكتبة Industrial Engineering
التاريخ 2024-01
ملاحظات TÜBİTAK
نص عينة 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
Özyeğin Üniversitesi
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