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Extracting Maritime Traffic Networks from AIS Data Using Evolutionary Algorithm

Extracting Maritime Traffic Networks from AIS Data Using Evolutionary Algorithm

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2449447745

Extracting Maritime Traffic Networks from AIS Data Using Evolutionary Algorithm

About this item

Full title

Extracting Maritime Traffic Networks from AIS Data Using Evolutionary Algorithm

Publisher

Wiesbaden: Springer Fachmedien Wiesbaden

Journal title

Business & Information Systems Engineering, 2020-10, Vol.62 (5), p.435-450

Language

English

Formats

Publication information

Publisher

Wiesbaden: Springer Fachmedien Wiesbaden

More information

Scope and Contents

Contents

The presented method reconstructs a network (a graph) from AIS data, which reflects vessel traffic and can be used for route planning. The approach consists of three main steps: maneuvering points detection, waypoints discovery, and edge construction. The maneuvering points detection uses the CUSUM method and reduces the amount of data for further...

Alternative Titles

Full title

Extracting Maritime Traffic Networks from AIS Data Using Evolutionary Algorithm

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2449447745

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2449447745

Other Identifiers

ISSN

2363-7005

E-ISSN

1867-0202

DOI

10.1007/s12599-020-00661-0

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