SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Liu Z, Zhou D, Zheng Z, Wu Z, Gang L. J. Marine Sci. Eng. 2023; 11(8): e1553.

Copyright

(Copyright © 2023, Australia New Zealand Marine Biotechnology Society, Publisher MDPI: Multidisciplinary Digital Publications Institute)

DOI

10.3390/jmse11081553

PMID

unavailable

Abstract

With the increasing volume of ship traffic, maritime traffic safety is facing a great challenge because the traffic in port becomes more and more crowded and complicated, which will make ship collisions more likely to happen. As a special water area of the port, the anchorage is also threatened by collision risk all the time. For accurately assessing the collision risk in anchorage and its adjacent waters in real time, this paper proposed an analytic model based on Automatic Identification System (AIS) data. The proposed anchorage collision risk model was established in microscopic, macroscopic, and complexity aspects, which considered ship relative motion, anchorage characteristics, and ship traffic complexity, respectively. For validation, the AIS data of the anchorages near the Shandong Peninsular were used to carry out a series of experiments. The results show that the proposed model can identify the anchorage collision risk effectively and has an advantage in dealing with complicated scenarios. The proposed anchorage collision risk model can help maritime surveillance better monitor and organize the ship traffic near the port and provide mariners with a reference about the collision risk situation of the anchorage on their route, which are important to improving maritime traffic safety.


Language: en

Keywords

anchorage; collision risk; relative motion; safe navigable waters; traffic complexity

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print