Maritime Route Delineation using AIS Data from the Atlantic Coast of the US

Author:

Breithaupt Stephen A.,Copping Andrea,Tagestad Jerry,Whiting Jonathan

Abstract

This study examines maritime routes between ports along the Atlantic coast of the US, utilising Automated Identification System (AIS) data for the years 2010 through 2012. The delineation of vessel routes conducted in this study was motivated by development planned for offshore Wind Energy Areas (WEAs) along the Atlantic coast of the US and the need to evaluate the effect of these development areas on commercial shipping. To this end, available AIS data were processed to generate commercial vessel tracks for individual vessels, though cargo vessels are the focus in this study. The individual vessel tracks were sampled at transects placed along the Atlantic coast. The transect samples were analysed and partitioned by voyages between Atlantic ports to facilitate computation of vessel routes between ports. The route boundary analysis utilised a definition from UK guidance in which routes' boundaries encompassed 95% of the vessel traffic between ports. In addition to delineating route boundaries, we found multi-modal transverse distributions of vessels for well-travelled routes, which indicated preference for lanes of travel within the delineated routes.

Publisher

Cambridge University Press (CUP)

Subject

Ocean Engineering,Oceanography

Reference24 articles.

1. Goerlandt F. , Montewka J. , Ravn E.S. , Hänninen M. and Mazaheri A. (2012). Analysis of the near-collisions using AIS data for the selected locations in the Baltic Sea. Deliverable No. D_WP6_2_03. Report prepared for Baltic Sea Region Programme 2007–2013.

2. Development and applications of a simulation model for vessels in the Singapore Straits

3. Traffic simulation based ship collision probability modeling

4. On a risk management analysis of oil spill risk using maritime transportation system simulation

5. AISM-IALA (Association of Internationale de Signalisation Maritime - International Association of Marine Aids to Navigation and Lighthouse Authorities). (2004). IALA Guideline No. 1028 – On The Automatic Identification (AIS) Volume 1, Part I Operational Issues Edition 1·3. Saint Germain en Laye, France.

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