ConflictFinder: Mining maritime traffic conflict from massive ship trajectories

Po Ruey Lei, Tzu Hao Tsai, Yu Ting Wen, Wen-Chih Peng

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

4 Scopus citations

Abstract

Collision-free is one of the major safety concerns for maritime traffic management. To analyze the collision data and understand the cause of the collision can contribute the improvement of the maritime traffic safety and management. However, the real collisions is not always available to analyze. Based on a massive AIS trajectory data collected, we focus on mining the ships' movement behaviors those may bring a possible collision if they do not take any avoidance, called Maritime Traffic Conflict. Even though the maritime traffic conflict is a non-accident incident, the movement behaviors of maritime traffic conflict may have the similar behaviors of navigational collision for analysis. Thus, we propose ConflictFinder to provide a framework for maritime traffic conflict mining. Different from existing methods those focus on detecting the conflicts between two ships in a restricted water way, we discover the conflicts occurred by multi-ships in open sea. For analysis of maritime traffic conflicts, a prototype of ConflictFinder is implemented which helps with gaining a better understanding of traffic conflicts discovered and can be applied to the improvement of maritime traffic safety evaluation and management.

Original languageEnglish
Title of host publicationProceedings - 18th IEEE International Conference on Mobile Data Management, MDM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages356-357
Number of pages2
ISBN (Electronic)9781538639320
DOIs
StatePublished - 29 Jun 2017
Event18th IEEE International Conference on Mobile Data Management, MDM 2017 - Daejeon, Korea, Republic of
Duration: 29 May 20171 Jun 2017

Publication series

NameProceedings - 18th IEEE International Conference on Mobile Data Management, MDM 2017

Conference

Conference18th IEEE International Conference on Mobile Data Management, MDM 2017
CountryKorea, Republic of
CityDaejeon
Period29/05/171/06/17

Keywords

  • AIS Data
  • Conflict Detection
  • Maritime Traffic
  • Trajectory Data Mining

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