Transport-logistic clusters’ passenger and cargo flows long term predictive modelling

The relevance of the research is determined by the need for a long-term vision of the development of transport-logistics clusters and the needs that arise from the need to model flows. The methodological basis of the research is provided by a number of methods of mathematical modeling and expert judgment. The scientific novelty of the research lies in the mathematical description of the SARIMAX and LSTM models for the implementation of the tasks set, as well as in the implementation of a system for long-term predictive modeling of passenger and cargo flows in transport-logistics clusters with a description of its advantages. All this allowed us to solve the tasks set in full and ensure the realization of the research objective.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-04-30
DOI
https://doi.org/10.1051/e3sconf/202670804011/pdf
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
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article

Transport-logistic clusters’ passenger and cargo flows long term predictive modelling

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Springer Link (Chiba Institute of Technology)
Transport and Logistics Innovations
article

Transport-logistic clusters’ passenger and cargo flows long term predictive modelling

Tetiana Gabrielova, Larysa Lytvynenko, Igor Vasylenko, Viktor Voitsehovskiy, Artur Viniukov-Proshchenko, Oleksandr Kolii
article en

Abstract

The relevance of the research is determined by the need for a long-term vision of the development of transport-logistics clusters and the needs that arise from the need to model flows. The methodological basis of the research is provided by a number of methods of mathematical modeling and expert judgment. The scientific novelty of the research lies in the mathematical description of the SARIMAX and LSTM models for the implementation of the tasks set, as well as in the implementation of a system for long-term predictive modeling of passenger and cargo flows in transport-logistics clusters with a description of its advantages. All this allowed us to solve the tasks set in full and ensure the realization of the research objective.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 6%
Transport and Logistics Innovations
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