[HTML][HTML] Emerging approaches applied to maritime transport research: Past and future

R Yan, S Wang, L Zhen, G Laporte - Communications in Transportation …, 2021 - Elsevier
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 …

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 …

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 …

[HTML][HTML] Port call extraction from vessel location data for characterising harbour traffic

C Iphar, I Le Berre, É Foulquier, A Napoli - Ocean Engineering, 2024 - Elsevier
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 …

[HTML][HTML] Enhancing vessel arrival time prediction: A fusion-based deep learning approach

A Abdi, C Amrit - Expert Systems with Applications, 2024 - Elsevier
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 …

A Grid-Based Gradient Descent Extended Target Clustering Method and Ship Target Inverse Synthetic Aperture Radar Imaging for UHF Radar

L Zhang, H Zhou, L Bai, Y Tian - Remote Sensing, 2023 - mdpi.com
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 …

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 …

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 …

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 …

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 …