Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
LOGI – Scientific Journal on Transport and Logistics
Volume 10 (2019): Issue 2 (November 2019)
Open Access
Vessel Crowd Movement Pattern Mining for Maritime Traffic Management
Rong Wen
Rong Wen
and
Wenjing Yan
Wenjing Yan
| Nov 26, 2019
LOGI – Scientific Journal on Transport and Logistics
Volume 10 (2019): Issue 2 (November 2019)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Nov 26, 2019
Page range:
105 - 115
DOI:
https://doi.org/10.2478/logi-2019-0020
Keywords
Spatio-temporal data mining
,
travel behavior mining
,
vector clustering
,
nonparametric regression
,
maritime traffic planning and management
© 2019 Rong Wen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Rong Wen
Planning and Operations Group, Singapore Institute of Manufacturing Technology,
Singapore
Wenjing Yan
Planning and Operations Group, Singapore Institute of Manufacturing Technology,
Singapore