Application of operating systems for the combined development of ground vehicles and drones for cargo delivery based on artificial intelligence

The relevance of this study is determined by the need to improve the efficiency of international cargo delivery and the intellectualization of service markets. The methodological basis of the study consists of methods of theoretical generalization, abstract-logical method, statistical analysis, as well as a group of expert assessment methods, namely the Delphi method and the method of predictive graph with the formation of a system of interrelationships. A mechanism has been created for managing the operational systems of the combined development of ground vehicles and drones for cargo delivery based on artificial intelligence, as well as a mechanism for the combined use of ground vehicles and drones in the organization of cargo delivery. The efficiency of the delivery of groups of special cargoes using combinations of ground vehicles and drones has been assessed, which made it possible to prove the effectiveness of the proposed tools and determine the optimal options based on scenario modelling.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-02-16
DOI
https://doi.org/10.1051/e3sconf/202669404017/pdf
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of operating systems for the combined development of ground vehicles and drones for cargo delivery based on artificial intelligence

Tetiana Gabrielova, Halyna Ivasyk, Larysa Lytvynenko, Viktor Voitsehovskiy et al.
Springer Link (Chiba Institute of Technology)
UAV Applications and Optimization
article

Application of operating systems for the combined development of ground vehicles and drones for cargo delivery based on artificial intelligence

Tetiana Gabrielova, Halyna Ivasyk, Larysa Lytvynenko, Viktor Voitsehovskiy, Olena Kuchma, Sergiy Lytvynenko
article en

Abstract

The relevance of this study is determined by the need to improve the efficiency of international cargo delivery and the intellectualization of service markets. The methodological basis of the study consists of methods of theoretical generalization, abstract-logical method, statistical analysis, as well as a group of expert assessment methods, namely the Delphi method and the method of predictive graph with the formation of a system of interrelationships. A mechanism has been created for managing the operational systems of the combined development of ground vehicles and drones for cargo delivery based on artificial intelligence, as well as a mechanism for the combined use of ground vehicles and drones in the organization of cargo delivery. The efficiency of the delivery of groups of special cargoes using combinations of ground vehicles and drones has been assessed, which made it possible to prove the effectiveness of the proposed tools and determine the optimal options based on scenario modelling.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
UAV Applications and Optimization
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