[HTML][HTML] Emerging approaches applied to maritime transport research: Past and future
Maritime transport is the backbone of international trade and globalization. Maritime
transport research can be roughly divided into two categories, namely the shipping side and …
transport research can be roughly divided into two categories, namely the shipping side and …
Impact of COVID-19 on China's international liner shipping network based on AIS data
L Jin, J Chen, Z Chen, X Sun, B Yu - Transport Policy, 2022 - Elsevier
As an essential sub-network of the global liner shipping network, China's international liner
shipping network was the earliest to be affected by the COVID-19 and also had a significant …
shipping network was the earliest to be affected by the COVID-19 and also had a significant …
A semi-supervised deep learning model for ship encounter situation classification
X Chen, Y Liu, K Achuthan, X Zhang, J Chen - Ocean Engineering, 2021 - Elsevier
Maritime safety is an important issue for global shipping industries. Currently, most of
collision accidents at sea are caused by the misjudgement of the ship's operators. The …
collision accidents at sea are caused by the misjudgement of the ship's operators. The …
[HTML][HTML] Port call extraction from vessel location data for characterising harbour traffic
Ports are essential facilities for the functioning of our globalised economy, as well as for the
territories they supply. Monitoring port activity is therefore a relevant way of assessing the …
territories they supply. Monitoring port activity is therefore a relevant way of assessing the …
[HTML][HTML] Enhancing vessel arrival time prediction: A fusion-based deep learning approach
The logistic community of shippers has struggled to predict the precise arrival time of the
seagoing vessels with reliable certainty. While deep-learning approaches are promising, the …
seagoing vessels with reliable certainty. While deep-learning approaches are promising, the …
A Grid-Based Gradient Descent Extended Target Clustering Method and Ship Target Inverse Synthetic Aperture Radar Imaging for UHF Radar
Inland shipping is of great significance in economic development, and ship surveillance and
classification are of great importance for ship management and dispatch. For river ship …
classification are of great importance for ship management and dispatch. For river ship …
A Neural Network Approach for ETA Prediction in Inland Waterway Transport
P Wenzel, R Jovanovic, F Schulte - International Conference on …, 2023 - Springer
Ensuring the accuracy of the estimated time of arrival (ETA) information for ships
approaching ports and inland terminals is increasingly critical today. Waterway …
approaching ports and inland terminals is increasingly critical today. Waterway …
Deep learning based vessel arrivals monitoring via autoregressive statistical control charts
S El Mekkaoui, G Boukachab, L Benabbou… - WMU Journal of …, 2024 - Springer
This paper introduces a methodology for monitoring the vessel arrival process, a critical
factor in enhancing maritime operational efficiency. This approach uses deep learning …
factor in enhancing maritime operational efficiency. This approach uses deep learning …
Enhancing Prediction Accuracy of Vessel Arrival Times Using Machine Learning.
N Evmides, S Aslam, TT Ramez… - Journal of Marine …, 2024 - search.ebscohost.com
Marine transportation accounts for approximately 90% of the total trade managed in
international logistics and plays a vital role in many companies' supply chains. However, en …
international logistics and plays a vital role in many companies' supply chains. However, en …
Simulation of an AIS system for the port of Hamburg
P Bouchard, A Moros-Daza, S Voß - International Conference on …, 2021 - Springer
This paper shows that the prediction of vessel arrival times with AIS (Automatic Identification
System) is increasing the number of vessels a port can handle without additional …
System) is increasing the number of vessels a port can handle without additional …