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Drone Routing for Post-disaster Damage Assessment

In: Dynamics of Disasters

Author

Listed:
  • Birce Adsanver

    (Ozyegin University)

  • Elvin Coban

    (Ozyegin University)

  • Burcu Balcik

    (Ozyegin University)

Abstract

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.

Suggested Citation

  • Birce Adsanver & Elvin Coban & Burcu Balcik, 2021. "Drone Routing for Post-disaster Damage Assessment," Springer Optimization and Its Applications, in: Ilias S. Kotsireas & Anna Nagurney & Panos M. Pardalos & Arsenios Tsokas (ed.), Dynamics of Disasters, pages 1-29, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-64973-9_1
    DOI: 10.1007/978-3-030-64973-9_1
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