Maritime shipping, with a significant role in global trade, confronts various accidents leading
to loss of lives, properties, and the environment. Shipping 4.0 technologies are scaling up to …

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 …

Multi-vessel collision risk assessment for maritime traffic surveillance is a key technique to
ensure the safety and security of maritime traffic and transportation. This paper proposes a …

Two approaches, namely, the crossing-line and the Monte Carlo methods, for navigation
safety assessment in approaching channel based on Automatic Identification System (AIS) …

The AIS data is powerful 'Big Data'of marine traffic and can provide critical insights for risk
assessment and ship navigation in the congested waterway. In our previous work (Huang et …

Daily ship traffic volume statistics and prediction are of great significance to shipping market.
Reliable prediction of daily ship traffic volume can instruct shipping company to make sound …

This paper considers ship route extraction and clustering problem based on Automatic
Identification System (AIS) data. For the ships with known Maritime Mobile Service Identify …

Considering unobserved spatial-temporal interaction effects, this study proposes a Bayesian
spatial-temporal interaction model for predicting economic loss from fishing boat collisions …

Maritime shipping, with a significant role in global trade, confronts various accidents leading
to loss of lives, properties, and the environment. Shipping 4.0 technologies are scaling up to …

This study is centered on the problem related to the reclamation work for the construction of
Tanjung Piai Maritime Industrial Park in the Tanjung Pelepas port limit. The main aim is to …