Analysis of the Grounding Avoidance Behavior of a Ro-Pax Ship in the Gulf of Finland using Big Data

Mingyang Zhang*, Jakub Montewka, Teemu Manderbacka, Pentti Kujala, Spyros Hirdaris

*Corresponding author for this work

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

Abstract

Waterway traffic complexity is one of the main reasons behind grounding accidents. It can be estimated qualitatively through expert
judgment or quantitatively through the analysis of traffic data. In this paper we introduce a big data analytics methodology for the analysis of grounding avoidance behavior of selected Ro-Pax ships. To demonstrate the applicability of the method, detailed traffic data obtained from Automatic Identification System (AIS) are combined with the General Bathymetric Chart of the Oceans (GEBCO) for three year period of operations in the Gulf of Finland. The grounding avoidance behavior of a RoPax passenger ship operating in shallow waters is idealized under various traffic patterns that link to side or forward grounding scenarios. The results demonstrate improved understanding of grounding avoidance behaviors in real operation that may in turn lead to better evaluation of waterway complexity indices and critical operational scenarios not currently accounted for by existing accident databases.
Original languageEnglish
Title of host publicationProceedings of the Thirtieth (2020) International Ocean and Polar Engineering Conference Shanghai, China, October 11-16, 2020
PublisherINTERNATIONAL SOCIETY OF OFFSHORE AND POLAR ENGINEERS
Pages3559 - 3567
Number of pages8
ISBN (Print)978-1-880653-84-5
Publication statusPublished - 11 Oct 2020
MoE publication typeA4 Article in a conference publication
EventInternational Ocean and Polar Engineering Conference
- Shanghai, China
Duration: 11 Oct 202016 Oct 2020
Conference number: 30

Publication series

NameProceedings of the International Offshore and Polar Engineering Conference
PublisherThe International Society of Offshore and Polar Engineers (ISOPE)
Volume2020-October
ISSN (Print)1098-6189
ISSN (Electronic)1555-1792

Conference

ConferenceInternational Ocean and Polar Engineering Conference
Abbreviated titleISOPE
CountryChina
CityShanghai
Period11/10/202016/10/2020

Keywords

  • Ship Safety
  • Grounding
  • Big data analytics
  • RoPax ships
  • Gulf of Finland

Field of art

  • Performance
  • Design

Fingerprint Dive into the research topics of 'Analysis of the Grounding Avoidance Behavior of a Ro-Pax Ship in the Gulf of Finland using Big Data'. Together they form a unique fingerprint.

Cite this