Follow Us:

View Item 
  •   CMRE Open Library Home
  • CMRE Publications
  • Reprints
  • View Item
  •   CMRE Open Library Home
  • CMRE Publications
  • Reprints
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Automated port traffic statistics: from raw data to visualization

Thumbnail
Abstract
We describe how we leveraged best practices in big data processing pipeline design and visual analytics to prototype the Maritime Patterns-of-Life Information Service (MPoLIS), an information product currently under devel-opment at the NATO Centre for Maritime Research and Experimentation (CMRE). MPoLIS supports the maritime industry, governments, and international organizations with visual analytics on vessel traffic in seaports. It addresses three main requirements: a) storing and processing large amounts of data; b) on-demand availability of statistical summaries of vessel traffic in ports; c) intuitive and interactive interface for subject matter experts (SMEs) in the maritime domain. MPoLIS has contributed to building a data-driven, self-service analytics culture within NATO and has been sanctioned for use in support of maritime situational awareness (MSA) in ongoing NATO operations.

URI
http://hdl.handle.net/20.500.12489/706

Report Number
CMRE-PR-2017-010

Source
In: 2016 IEEE International Conference on Big Data (Big Data)

Collections
  • Reprints

Date
2017/11

Author(s)
Cazzanti, Luca
; 
Davoli, Antonio
; 
Millefiori, Leonardo

Show full item record
CMRE-PR-2017-010.pdf (3.158Mb)

Browse

All of CMRE Open LibraryCommunities & CollectionsBy Issue DateAuthor(s)TitlesSubjectsTypeThis CollectionBy Issue DateAuthor(s)TitlesSubjectsType

My Account

LoginRegister

  • Contact Us
  • Send Feedback
  • Employment
  • Procurement
  • Fact Sheets
  • News Feed
  • Conditions of Use
  • Publications Feed
  • Press Release
  • News Archive
  • STO (Science and Technology Organization)
  • Find us on Facebook
  • Follow us on Twitter
  • Watch us on Youtube
  • Webmail
 

 

© 2018 STO-CMRE
Powered by KnowledgeArc