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 language | English |
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| Publication status | Published - 6 Oct 2020 |
| MoE publication type | Not Eligible |
| Event | International Conference on Maritime Safety and Smart Shipping - Virtual, Wuhan, China Duration: 5 Oct 2020 → 6 Oct 2020 Conference number: 4 |
Conference
| Conference | International Conference on Maritime Safety and Smart Shipping |
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| Abbreviated title | MSSS |
| Country/Territory | China |
| City | Wuhan |
| Period | 05/10/2020 → 06/10/2020 |