Optimizing continuous coverage of vessel-based AIS stations

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master_Biçer_Enes_2025.pdf (1.9 MB)

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School of Science | Master's thesis
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Date

2025-07-03

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Major/Subject

Product and Innovation Management

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Degree programme

Master's Programme in Industrial Engineering and Management

Language

en

Pages

46

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Abstract

This paper presents a simulation-based evaluation of vessel-based AIS stations as an alternative to terrestrial AIS, limited to coastal range and satellite AIS, which suffers from signal collisions and degraded performance in dense traffic regions, for maritime traffic monitoring. The AIS data market is also consolidating, raising concerns over accessibility and cost. We evaluate the number of vessels equipped with AIS receivers required to achieve near-continuous global coverage. Results show that while 2,000–3,000 station vessels are sufficient to detect over 75% of IMO-registered traffic once per day, achieving broader hourly coverage requires larger fleets beyond 6,000 vessels.

Description

Supervisor

Saarinen, Lauri

Thesis advisor

Dausendschoen, Kay
Grebasch, Dennis

Keywords

Automatic Identification System (AIS), vessel-based AIS, AIS coverage optimization, maritime traffic monitoring, simulation modeling, spatial analysis

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https://urn.fi/URN:NBN:fi:aalto-202508206647

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[dipl] Perustieteiden korkeakoulu / SCI