A Framework for Maritime Anti-Collision Pattern Discovery from AIS Network

Po Ruey Lei, Pei Rong Yu, Wen Chih Peng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The avoidance of collisions between ships in encounter situations is crucial to maritime traffic safety. Most research on maritime collision avoidance has focused on planning a safe path by which to avoid approaching ships in accordance with the requirements laid out in the International Regulations for Preventing Collision at Sea (COLREGs). The resulting solution provides reference for the navigator in planning movements to avoid collisions. Nonetheless, specific anti-collision actions are generally based on the experience of the navigator. This study differed from existing works in that we sought to derive collision avoidance behavior from the trajectory data of actual ships. The Automatic Identification System (AIS) network makes it possible to collect an enormous volume of trajectory data and investigate real-world ship behavior. Unfortunately trajectory data that introduces uncertainty can hinder behavior mining for collision avoidance. Irregular and/or asynchronous location sampling can lead to situations in which the movement of a ship does not necessarily follow a given trajectory, even if its movement behavior is similar to that of other ships. In this study, we developed a framework to decipher the anti-collision behavior of ships in encounter situations from a large database of trajectory data collected by AIS network, and to present this behavior in the form of anti-collision patterns. A prototype of the proposed framework was built to enable pattern analysis and visualization functions, thereby providing a deeper understanding of collision avoidance behavior in maritime traffic. The proposed framework is applicable to the development of pattern-aware collision avoidance systems aimed at improving maritime traffic safety.

Original languageEnglish
Title of host publication2019 20th Asia-Pacific Network Operations and Management Symposium
Subtitle of host publicationManagement in a Cyber-Physical World, APNOMS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784885523205
DOIs
StatePublished - Sep 2019
Event20th Asia-Pacific Network Operations and Management Symposium, APNOMS 2019 - Matsue, Japan
Duration: 18 Sep 201920 Sep 2019

Publication series

Name2019 20th Asia-Pacific Network Operations and Management Symposium: Management in a Cyber-Physical World, APNOMS 2019

Conference

Conference20th Asia-Pacific Network Operations and Management Symposium, APNOMS 2019
CountryJapan
CityMatsue
Period18/09/1920/09/19

Keywords

  • AIS network
  • maritime conflict detection
  • ship anti-collision pattern
  • ship trajectory data

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