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Dataset for the cumulative unmanned aerial vehicle routing problem.

ABSTRACT: The Cumulative Unmanned Aerial Vehicle Routing Problem applies to area covering operations using UAVs. It is defined on a graph, the nodes of which, ensure the complete coverage of the underlying area of interest. The data generation process takes into account the characteristics of such operations, in particular, the viewing window of the UAVs' sensor, their maximum range, the size of the UAV fleet and the unknown locations of the targets within the area of interest. Instances are created simulating different scenarios, using different values for those UAV characteristics, as well as the different locations where the search targets might be positioned in the area of interest.

SUBMITTER: Kyriakakis NA

PROVIDER: S-EPMC10294095 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Dataset for the cumulative unmanned aerial vehicle routing problem.

Kyriakakis Nikolaos A NA Stamadianos Themistoklis T Marinaki Magdalene M Marinakis Yannis Y

Data in brief 20230605

The Cumulative Unmanned Aerial Vehicle Routing Problem applies to area covering operations using UAVs. It is defined on a graph, the nodes of which, ensure the complete coverage of the underlying area of interest. The data generation process takes into account the characteristics of such operations, in particular, the viewing window of the UAVs' sensor, their maximum range, the size of the UAV fleet and the unknown locations of the targets within the area of interest. Instances are created simul ...[more]

PMID: 37383775

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