Estimating Vessel Payloads in Black Sea Grain Initiative Shipping Using AIS Data

Based on a joint analysis of official statistics on the work of the Black Sea Grain Initiative and data from the automatic identification System (AIS) a regression model was obtained that allows indirectly estimating agricultural exports from the Black Sea ports of Ukraine using only AIS data.

Authors

Hennadii Khudov (ORCID: https://orcid.org/0000-0002-3311-2848)
Shamil Ikhsanov (ORCID: https://orcid.org/0000-0002-9053-7068)
Oleksii Diakonov (ORCID: https://orcid.org/0000-0001-7438-7066)

Institutions

Admiral Makarov National University of Shipbuilding (UA)
Ivan Kozhedub Kharkiv National Air Force University (UA)

Publication Details

Published: 2024-10-16
DOI: https://doi.org/10.1109/csit65290.2024.10982662
Primary Topic: Arctic and Russian Policy Studies
Type: article
Field-Weighted Citation Impact: 0.00

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article

Estimating Vessel Payloads in Black Sea Grain Initiative Shipping Using AIS Data

Hennadii Khudov, Shamil Ikhsanov, Oleksii Diakonov

Oct 16, 2024

Arctic and Russian Policy Studies

article

Estimating Vessel Payloads in Black Sea Grain Initiative Shipping Using AIS Data

Hennadii Khudov, Shamil Ikhsanov, Oleksii Diakonov

October 16, 2024article en

Abstract

Based on a joint analysis of official statistics on the work of the Black Sea Grain Initiative and data from the automatic identification System (AIS) a regression model was obtained that allows indirectly estimating agricultural exports from the Black Sea ports of Ukraine using only AIS data.

Admiral Makarov National University of Shipbuilding (UA), Ivan Kozhedub Kharkiv National Air Force University (UA)

Openalex Percentile: Top 53%

Arctic and Russian Policy Studies

DOI Source OpenAlex

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Estimating Vessel Payloads in Black Sea Grain Initiative Shipping Using AIS Data — Hennadii Khudov, Shamil Ikhsanov, et al. · (2024) | TGRS Research Map | TGRS