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

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

Department of Energy and Mechanical Engineering

Napa Ltd

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

11 Citations (Scopus)

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 language	English
Title of host publication	30th International Ocean and Polar Engineering Conference
Publisher	International Society of Offshore and Polar Engineers
Pages	3558-3567
Number of pages	10
ISBN (Electronic)	9781880653845
ISBN (Print)	978-1-880653-84-5
Publication status	Published - 11 Oct 2020
MoE publication type	A4 Conference publication
Event	International Ocean and Polar Engineering Conference - Shanghai, China Duration: 11 Oct 2020 → 16 Oct 2020 Conference number: 30

Publication series

Name	Proceedings of the International Offshore and Polar Engineering Conference
Publisher	The International Society of Offshore and Polar Engineers (ISOPE)
Volume	2020-October
ISSN (Print)	1098-6189
ISSN (Electronic)	1555-1792

Conference

Conference	International Ocean and Polar Engineering Conference
Abbreviated title	ISOPE
Country/Territory	China
City	Shanghai
Period	11/10/2020 → 16/10/2020

Keywords

Ship Safety
Grounding
Big data analytics
RoPax ships
Gulf of Finland

Field of art

Performance
Design

Cite this

Zhang, M., Montewka, J., Manderbacka, T., Kujala, P., & Hirdaris, S. (2020). Analysis of the Grounding Avoidance Behavior of a Ro-Pax Ship in the Gulf of Finland using Big Data. In 30th International Ocean and Polar Engineering Conference (pp. 3558-3567). (Proceedings of the International Offshore and Polar Engineering Conference; Vol. 2020-October). International Society of Offshore and Polar Engineers.

Zhang, Mingyang ; Montewka, Jakub ; Manderbacka, Teemu et al. / Analysis of the Grounding Avoidance Behavior of a Ro-Pax Ship in the Gulf of Finland using Big Data. 30th International Ocean and Polar Engineering Conference. International Society of Offshore and Polar Engineers, 2020. pp. 3558-3567 (Proceedings of the International Offshore and Polar Engineering Conference).

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

abstract = "Waterway traffic complexity is one of the main reasons behind grounding accidents. It can be estimated qualitatively through expertjudgment 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.",

keywords = "Ship Safety, Grounding, Big data analytics, RoPax ships, Gulf of Finland",

author = "Mingyang Zhang and Jakub Montewka and Teemu Manderbacka and Pentti Kujala and Spyros Hirdaris",

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publisher = "International Society of Offshore and Polar Engineers",

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address = "United States",

note = "International Ocean and Polar Engineering Conference<br/>, ISOPE ; Conference date: 11-10-2020 Through 16-10-2020",

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Zhang, M, Montewka, J, Manderbacka, T , Kujala, P & Hirdaris, S 2020, Analysis of the Grounding Avoidance Behavior of a Ro-Pax Ship in the Gulf of Finland using Big Data. in 30th International Ocean and Polar Engineering Conference. Proceedings of the International Offshore and Polar Engineering Conference, vol. 2020-October, International Society of Offshore and Polar Engineers, pp. 3558-3567, International Ocean and Polar Engineering Conference
, Shanghai, China, 11/10/2020.

Analysis of the Grounding Avoidance Behavior of a Ro-Pax Ship in the Gulf of Finland using Big Data. / Zhang, Mingyang; Montewka, Jakub; Manderbacka, Teemu et al.
30th International Ocean and Polar Engineering Conference. International Society of Offshore and Polar Engineers, 2020. p. 3558-3567 (Proceedings of the International Offshore and Polar Engineering Conference; Vol. 2020-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Analysis of the Grounding Avoidance Behavior of a Ro-Pax Ship in the Gulf of Finland using Big Data

AU - Zhang, Mingyang

AU - Montewka, Jakub

AU - Manderbacka, Teemu

AU - Kujala, Pentti

AU - Hirdaris, Spyros

N1 - Conference code: 30

PY - 2020/10/11

Y1 - 2020/10/11

N2 - Waterway traffic complexity is one of the main reasons behind grounding accidents. It can be estimated qualitatively through expertjudgment 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.

AB - Waterway traffic complexity is one of the main reasons behind grounding accidents. It can be estimated qualitatively through expertjudgment 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.

KW - Ship Safety

KW - Grounding

KW - Big data analytics

KW - RoPax ships

KW - Gulf of Finland

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ER -

Zhang M, Montewka J, Manderbacka T , Kujala P, Hirdaris S. Analysis of the Grounding Avoidance Behavior of a Ro-Pax Ship in the Gulf of Finland using Big Data. In 30th International Ocean and Polar Engineering Conference. International Society of Offshore and Polar Engineers. 2020. p. 3558-3567. (Proceedings of the International Offshore and Polar Engineering Conference).

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

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