Estimated Time of Arrival Using Historical Vessel Tracking Data

The growing availability of data coming from ship reporting systems, such as Automatic Identification System (AIS) and Long Range Identification and Tracking (LRIT), is originating an unprecedented set of opportunities to enforce maritime surveillance, ensure the security of the traffic at sea, and manage maritime operations. In this paper, a data-driven methodology is proposed to estimate the vessel times of arrival in port areas. The developed approach exploits both AIS and LRIT historical maritime traffic data collected over a desired area of interest and is based on an optimized data-driven path-finding algorithm. The methodology is applied and validated to real scenarios with real data sets, showing how a list of times of arrival can be automatically computed for predefined ports and progressively refined. Such information is expected to increase port operational efficiency and safety.

• Record URL:
  • https://doi.org/10.1109/TITS.2017.2789279
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2019, IEEE.
• Authors:
  • Alessandrini, Alfredo
  • Mazzarella, Fabio
  • Vespe, Michele
• Publication Date: 2019-1

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 7-15
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 20
  • Issue Number: 1
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Algorithms; Port operations; System architecture; Tracking systems; Traffic estimation; Vessel operations; Water traffic
• Uncontrolled Terms: Vehicle data
• Geographic Terms: Mediterranean Sea
• Subject Areas: Data and Information Technology; Marine Transportation; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01691646
• Record Type: Publication
• Files: TLIB, TRIS
• Created Date: Jan 28 2019 5:10PM