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
- Tetiana Gabrielova (ORCID: https://orcid.org/0000-0002-3444-5927)
- Halyna Ivasyk (ORCID: https://orcid.org/0000-0003-0587-0630)
- Larysa Lytvynenko (ORCID: https://orcid.org/0000-0003-0900-8394)
- Viktor Voitsehovskiy (ORCID: https://orcid.org/0000-0002-6147-5160)
- Olena Kuchma
- Sergiy Lytvynenko
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