Maritime Traffic Route Detection Framework Based on Statistical Density Analysis From AIS Data Using a Clustering Algorithm-Reference-Cited by-同舟云学术

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Maritime Traffic Route Detection Framework Based on Statistical Density Analysis From AIS Data Using a Clustering Algorithm

Published:2022 Issue: Volume:10 Page:23355-23366
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lee Jeong-Seok¹^ORCID,Lee Hyeong-Tak²^ORCID,Cho Ik-Soon³^ORCID

Affiliation:

1. Graduate School, Korea Maritime & Ocean University, Busan, South Korea

2. Ocean Science and Technology School, Korea Maritime & Ocean University, Busan, South Korea

3. Division of Navigation Convergence Studies, Korea Maritime & Ocean University, Busan, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09721300.pdf?arnumber=9721300

Reference48 articles.

1. Analysis of global marine oil trade based on automatic identification system (AIS) data

2. Scalable distributed change detection and its application to maritime traffic

3. Modeling vessel kinematics using a stochastic mean-reverting process for long-term prediction

4. Unsupervised extraction of maritime patterns of life from Automatic Identification System data

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An adaptive trajectory compression and feature preservation method for maritime traffic analysis;Ocean Engineering;2024-11

2. Predicting Vessel Trajectories Using ASTGCN with StemGNN-Derived Correlation Matrix;Applied Sciences;2024-05-12

3. An approach for traffic pattern recognition integration of ship AIS data and port geospatial features;Geo-spatial Information Science;2024-02-13

4. EnvClus*: Extracting Common Pathways for Effective Vessel Trajectory Forecasting;IEEE Access;2024

5. Analysis of Extraction Method for Maritime Traffic Intensity Zone Through Occupancy Rate of Automatic Identification System Data;IEEE Access;2024

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