Improved kinematic interpolation for AIS trajectory reconstruction

S Guo, J Mou, L Chen, P Chen - Ocean Engineering, 2021 - Elsevier
Ship trajectory information has made a significant contribution to the data-based research in
analyzing maritime transportation and has facilitated the improvement of maritime safety …

AIS data repair model based on generative adversarial network

W Zhang, W Jiang, Q Liu, W Wang - Reliability Engineering & System Safety, 2023 - Elsevier
Abstract Automatic Identification System (AIS) is a navigation aid system widely used in
maritime safety and communication. However, due to issues with AIS devices, the data …

A distributed framework for extracting maritime traffic patterns

I Kontopoulos, I Varlamis, K Tserpes - International Journal of …, 2021 - Taylor & Francis
All the modern surveillance systems take advantage of the Automatic Identification System
(AIS), a compulsory tracking system for many types of vessels. Ships that carry AIS …

[HTML][HTML] HiTrip: Historical trajectory interpolation for trawlers via deep learning on multi-source data

Z Zhao, J Chen, Y Shi, F Hong, G Jiang, H Huang… - Ocean …, 2024 - Elsevier
Abstract The Vessel Monitoring System (VMS) on trawlers has revolutionized our
understanding of spatiotemporal fishing activities. However, the low temporal resolution of …

[HTML][HTML] An anomaly detection method for AIS trajectory based on kinematic interpolation

S Guo, J Mou, L Chen, P Chen - Journal of Marine Science and …, 2021 - mdpi.com
With the enormous amount of information provided by the ship Automatic Identification
System (AIS), AIS is now playing a significant role in maritime transport system-related …

A data-driven approach for ship-bridge collision candidate detection in bridge waterway

L Zhang, P Chen, M Li, L Chen, J Mou - Ocean Engineering, 2022 - Elsevier
The consequences caused by bridge failures owing to the ship-bridge collision are always
severe in terms of loss of life, economy, and environmental consequences to individuals and …

A comprehensive statistical investigation framework for characteristics and causes analysis of ship accidents: A case study in the fluctuating backwater area of Three …

J Xue, E Papadimitriou, G Reniers, C Wu, D Jiang… - Ocean …, 2021 - Elsevier
Frequent water traffic accidents pose severe threats to human life and property safety, the
water environment, and adverse effects on social stability. Understanding historical …

From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea

B Brandoli, A Raffaetà, M Simeoni, P Adibi, FK Bappee… - GeoInformatica, 2022 - Springer
In this paper we model spatio-temporal data describing the fishing activities in the Northern
Adriatic Sea over four years. We build, implement and analyze a database based on the …

Neural network-based automatic reconstruction of missing vessel trajectory data

M Liang, RW Liu, Q Zhong, J Liu… - 2019 IEEE 4th …, 2019 - ieeexplore.ieee.org
Automatic identification system (AIS) is an independent tracking system which has been
widely utilized on ships to frequently broadcast the time-stamped vessel position reports …

Interpolation-Based Inference of Vessel Trajectory Waypoints from Sparse AIS Data in Maritime

B Zaman, D Marijan, T Kholodna - Journal of Marine Science and …, 2023 - mdpi.com
The availability of automatic identification system (AIS) data for tracking vessels has paved
the way for improvements in maritime safety and efficiency. However, one of the main …