Use of Field Research and Mathematical Methods for Improving the Organization of Suburban Passenger Transportation

Strelko, Oleh; Hrushevska, Tetiana; Gaba, Vasyl; Toropov, Borys; Bernatskyi, Artemii

doi:10.1007/978-3-031-46874-2_27

Lecture Notes in Networks and Systems

2023

DOI: 10.1007/978-3-031-46874-2_27

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Use of Field Research and Mathematical Methods for Improving the Organization of Suburban Passenger Transportation

Oleh Strelko,

Tetiana Hrushevska,

Vasyl Gaba

et al.

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2024

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Cited by 1 publication

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Implementation features of local and remote technical objects digital twins

Pliuhin,

Sukhonos,

Biletskyi

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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This paper explores the potential for implementing digital twin technology, focusing on the internal structure of the research object and the remote characteristics of its surrounding environment. Specifically, it examines and demonstrates the practical application of local digital twins, which replicate the object’s structural parameters using data from sensors and measurement devices positioned at key nodes within the research object. Another category of digital twins leverages data collected from instruments measuring external environmental conditions and falls under the classification of remote digital twins. When combined, these local and remote digital twins create a comprehensive framework for predictive decision-making, assessing both the current status of the object and potential outcomes in emergency situations. This study seeks to explore the feasibility of integrating digital twins across various hierarchical levels of the research object. The findings presented in this paper represent the authors’ practical innovations, which demonstrate effective outcomes and offer a foundation for advancing research objectives in this area.

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Implementation features of local and remote technical objects digital twins

Pliuhin,

Sukhonos,

Biletskyi

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Use of Field Research and Mathematical Methods for Improving the Organization of Suburban Passenger Transportation

Cited by 1 publication

References 32 publications

Implementation features of local and remote technical objects digital twins

Implementation features of local and remote technical objects digital twins

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