File:PREDICTING THE NEXT PORT VISIT OF A VESSEL USING AIS DATA (IA predictingthenex1094564046).pdf
Original file (1,275 × 1,650 pixels, file size: 1.59 MB, MIME type: application/pdf, 62 pages)
Captions
Captions
Summary[edit]
PREDICTING THE NEXT PORT VISIT OF A VESSEL USING AIS DATA
(   ) |
|
|---|---|
| Author |
Pham, Cang K. |
| Title |
PREDICTING THE NEXT PORT VISIT OF A VESSEL USING AIS DATA |
| Publisher |
Monterey, CA; Naval Postgraduate School |
| Description |
This thesis develops a procedure to estimate the probability distribution of the next destination a ship will visit after it departs a specific port using historical Automatic Identification System (AIS) data in the Baltic Sea region. AIS was developed to facilitate communication between vessels in a region by broadcasting information, such as vessel name, position, heading, and speed, on regular time intervals. We develop a data-driven procedure to locate the stopping point of a vessel along shorelines, and we construct vessel itineraries using historical AIS data to form a supervised learning data set. A machine-learning approach is used to update the probability that the ship will visit a port as it is underway. This research enhances understanding of patterns of navigation in a particular region, which is useful for tracking, monitoring, and detecting anomalous behavior at sea. Subjects: Automatic Identification System; AIS; supervised learning; random forests; navigation; prediction; Baltic Sea |
| Language | English |
| Publication date | December 2019 |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
| Accession number |
predictingthenex1094564046 |
| Source | |
| Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
Licensing[edit]
|
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.
|
 |
| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 21:29, 23 July 2020 |  | 1,275 × 1,650, 62 pages (1.59 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection predictingthenex1094564046 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #25057) |
You cannot overwrite this file.
File usage on Commons
The following page uses this file: