[PDF][PDF] Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities

I Durlik, T Miller, E Kostecka, A Łobodzińska… - Applied …, 2024 - researchgate.net
The maritime industry, responsible for moving approximately 90% of the world's goods,
significantly contributes to environmental pollution, accounting for around 2.5% of global …

Envclus*: Extracting common pathways for effective vessel trajectory forecasting

N Zygouras, A Troupiotis-Kapeliaris, D Zissis - IEEE Access, 2024 - ieeexplore.ieee.org
The task of accurately forecasting the trajectory of a vessel, and in general a moving object
operating in free space until its destination remains an open challenge. This paper …

Vessel Trajectory Data Mining: a review

A Troupiotis-Kapeliaris, C Kastrisios, D Zissis - IEEE Access, 2025 - ieeexplore.ieee.org
Recent advancements in sensor and tracking technologies have facilitated the real-time
tracking of marine vessels as they traverse the oceans. As a result, there is an increasing …

Machine learning models for vessel traffic flow forecasting: An experimental comparison

P Mandalis, E Chondrodima, Y Kontoulis… - 2022 23rd IEEE …, 2022 - ieeexplore.ieee.org
Within the last years the shipping industry invest-ments continue to grow to improve maritime
transport systems. A vital part of the maritime transport systems is the accurate Vessel Traffic …

Predicting co-movement patterns in mobility data

A Tritsarolis, E Chondrodima, P Tampakis, A Pikrakis… - GeoInformatica, 2024 - Springer
Predictive analytics over mobility data is of great importance since it can assist an analyst to
predict events, such as collisions, encounters, traffic jams, etc. A typical example is …

[HTML][HTML] Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns

MM Alam, G Spadon, M Etemad, L Torgo, E Milios - Ocean Engineering, 2024 - Elsevier
Predicting vessel trajectories is crucial for enhancing situational awareness and preventing
collisions at sea. However, achieving accurate and efficient predictions is challenging due to …

Sailing the Seaformer: A Transformer-Based Model for Vessel Route Forecasting

L Sigillo, A Marzilli, D Moretti… - 2023 IEEE 33rd …, 2023 - ieeexplore.ieee.org
The huge amount of traffic maritime data kicked off the challenge of their interpretations to
predict the behavior of vessels during their trip. The availability of this type of data in large …

Collision risk assessment and forecasting on maritime data

A Tritsarolis, B Murray, N Pelekis… - Proceedings of the 31st …, 2023 - dl.acm.org
The wide spread of the Automatic Identification System (AIS) and related tools has motivated
several maritime analytics operations. One of the most critical operations for the purpose of …

Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach

BL Nguyen, AD Doan, TJ Chin… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Countries with access to large bodies of water often aim to protect their maritime transport by
employing maritime surveillance systems. However, the number of available sensors (eg …

[PDF][PDF] Towards a Unified Vessel Traffic Flow Forecasting Framework.

P Mandalis, E Chondrodima, Y Kontoulis… - EDBT/ICDT …, 2023 - ceur-ws.org
Abstract Vessel Traffic Flow Forecasting (VTFF) is vital for maritime harbor supervision,
safety management and collision avoidance. Previous works approach the VTFF problem …