A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
Digitalization in maritime transport and seaports: bibliometric, content and thematic analysis
In this paper, a bibliometric, content and thematic analysis of digitalization in maritime
transport and seaports was performed. The research was primarily motivated by the scarcity …
transport and seaports was performed. The research was primarily motivated by the scarcity …
Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery
Owing to the space–air–ground integrated networks (SAGIN), seaborne ship** has
attracted increasing interest in the research on the motion behavior knowledge extraction …
attracted increasing interest in the research on the motion behavior knowledge extraction …
Ship collision avoidance behaviour recognition and analysis based on AIS data
A novel approach is proposed to automatically identify the ship collision avoidance
behaviour from ship trajectories based on an improved Sliding Window Algorithm. The …
behaviour from ship trajectories based on an improved Sliding Window Algorithm. The …
Maritime traffic probabilistic prediction based on ship motion pattern extraction
This paper proposes a novel maritime traffic prediction method based on ship motion pattern
extraction, considering ship destination prediction and ship trajectory prediction within a …
extraction, considering ship destination prediction and ship trajectory prediction within a …
[HTML][HTML] A data mining method to extract traffic network for maritime transport management
Maritime traffic network is essential for navigation efficiency and safety of the maritime
transport system. This study proposes a framework for extracting maritime traffic network …
transport system. This study proposes a framework for extracting maritime traffic network …
Impact of COVID-19 on China's international liner ship** network based on AIS data
L **, J Chen, Z Chen, X Sun, B Yu - Transport Policy, 2022 - Elsevier
As an essential sub-network of the global liner ship** network, China's international liner
ship** network was the earliest to be affected by the COVID-19 and also had a significant …
ship** network was the earliest to be affected by the COVID-19 and also had a significant …
A novel real-time collision risk awareness method based on velocity obstacle considering uncertainties in ship dynamics
COLREGs-based collision risk awareness model is urgently needed in real-time operating
conditions. However, this is a complicated problem under various encounter situations …
conditions. However, this is a complicated problem under various encounter situations …
[HTML][HTML] Ship** route modelling of AIS maritime traffic data at the approach to ports
The complexity and diversity of ship traffic conditions have burdened maritime safety
because of the increasing maritime transportation, especially in the waters around busy …
because of the increasing maritime transportation, especially in the waters around busy …
Maritime traffic clustering to capture high-risk multi-ship encounters in complex waters
Maritime traffic situational awareness is fundamental to the safety of maritime transportation.
The state-of-the-art research primarily attaches importance to collision risk estimation and …
The state-of-the-art research primarily attaches importance to collision risk estimation and …