Assessing Jetty Effectiveness via Statistical Analysis of AIS Data

Abstract

PURPOSE: This Coastal and Hydraulics Engineering Technical Note (CHETN) describes a pilot study exploring the use of statistical analysis of Automatic Identification System (AIS) data to assess the sheltering effectiveness of jetties. BACKGROUND: Coastal navigation structures are frequently provided to improve the controllability of navigating vessels. Structures are typically designed to withstand exposure to wave loads that far exceed safe vessel operating conditions. Even damaged structures may continue to shelter vessels during normal vessel operating conditions. A structure functionality measure provides a mechanism to prioritize structures for maintenance and rehabilitation whereby damaged structures that continue to demonstrate higher functionality receive lower priority. Globally, certain commercial vessels are required to broadcast specified information using AIS transceivers. The transmitted data are collected by monitoring stations across the United States and archived by the U.S. Coast Guard (USCG). Detailed discussion of AIS purpose, carriage requirements, data content, and availability is provided by Scully and Mitchell (2015). USACE staff may obtain archival AIS data from the USCG (USCG 2016) or from the developing AIS Analysis Package (AISAP) website (Scully and Mitchell 2015). AIS technology documents vessel behavior in high resolution and can be used to quantify vessel-structure interaction. A procedure using AIS data parameters listed in Table 1 was developed to enable statistical comparison of AIS-derived vessel performance metrics for vessels sheltered by jetties compared to those exposed to open ocean conditions.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 26, 2018
Accession Number
AD1081207

Entities

People

  • Brandan M. Scully
  • David L. Young

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Automatic Identification Systems
  • Coast Guard
  • Columbia River
  • Data Analysis
  • Databases
  • Engineering
  • Engineers
  • Identification
  • Identification Systems
  • Information Science
  • Naval Architecture
  • Navigation
  • Pilot Studies
  • Standards
  • Statistical Analysis
  • Statistical Tests
  • United States

Fields of Study

  • Environmental science

Readers

  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Maritime Security/Maritime Homeland Security