Title | ||
---|---|---|
Automatic Identification System-Based Approach for Assessing the Near-Miss Collision Risk Dynamics of Ships in Ports. |
Abstract | ||
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Vessel risk analysis is critical for safe ship navigation and maritime safety management. Near-miss collisions by ships comprise an significant risk, which may be complicated by factors, such as the ship conditions, waterway environment, and driving behavior of any ships encountered. Previous studies have rarely considered how to automatically and adaptively estimate the risk of near-miss collisio... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TITS.2018.2816122 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Marine vehicles,Accidents,Artificial intelligence,Estimation,Mathematical model,Risk analysis,Oceans | Port (computer networking),Traffic flow,Collision risk,Simulation,Risk analysis (business),Operations research,Automatic Identification System,Engineering,Near miss | Journal |
Volume | Issue | ISSN |
20 | 2 | 1524-9050 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhixiang Fang | 1 | 88 | 17.90 |
Hongchu Yu | 2 | 3 | 1.41 |
Ran-Xuan Ke | 3 | 1 | 0.36 |
Shih-Lung Shaw | 4 | 341 | 23.87 |
Guojun Peng | 5 | 14 | 3.92 |