The use of big data analytics for passenger ship safety – Some recent advances

Research output: Contribution to conferencePaperScientific

Abstract

Waterway traffic complexity contributes to collision and grounding accidents that link to serious ship flooding events. Complexity can be estimated qualitatively through expert judgment or quantitatively through the analysis of traffic data. This presentation will introduce a novel big data analytics methodology for the analysis of collision and grounding avoidance behavior of selected Ro-Pax ships. The results presented for the Gulf of Finland will demonstrate that improved understanding of collision and grounding avoidance behaviors in real operating conditions could lead to better evaluation of waterway complexity indices and critical operational scenarios not currently accounted for by existing accident databases or regulations.
Original languageEnglish
Publication statusPublished - 6 Oct 2020
MoE publication typeNot Eligible
EventInternational Conference on Maritime Safety and Smart Shipping - Virtual, Wuhan, China
Duration: 5 Oct 20206 Oct 2020
Conference number: 4

Conference

ConferenceInternational Conference on Maritime Safety and Smart Shipping
Abbreviated titleMSSS
Country/TerritoryChina
CityWuhan
Period05/10/202006/10/2020

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