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 (Corresponding author), Jakub Montewka, Teemu Manderbacka, Pentti Kujala, Spyros Hirdaris

Not published at VTT

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

9 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 ISOPE
Pages	3558-3567
Number of pages	10
Volume	4
ISBN (Electronic)	Analysis of the grounding avoidance
Publication status	Published - 2020
MoE publication type	A4 Article in a conference publication
Event	30th International Ocean and Polar Engineering Conference, ISOPE 2020 - Virtual, Online Duration: 11 Oct 2020 → 16 Oct 2020

Publication series

Series	Proceedings of the International Offshore and Polar Engineering Conference
Volume	2020-October
ISSN	1098-6189

Conference

Conference	30th International Ocean and Polar Engineering Conference, ISOPE 2020
City	Virtual, Online
Period	11/10/20 → 16/10/20

Keywords

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

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 (Vol. 4, pp. 3558-3567). International Society of Offshore and Polar Engineers ISOPE. Proceedings of the International Offshore and Polar Engineering Conference Vol. 2020-October

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. Vol. 4 International Society of Offshore and Polar Engineers ISOPE, 2020. pp. 3558-3567 (Proceedings of the International Offshore and Polar Engineering Conference, Vol. 2020-October).

@inproceedings{9c55e05eb5b6431eb2d119c3cafc2fba,

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 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.",

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

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

note = "Funding Information: 2020 FLARE (Flooding Accident Response) project (Grant No: 814753-2). Financial support from Merenkulun S{\"a}{\"a}ti{\"o} is highly acknowledged. Funding Information: This work presented in this paper is carried out within the EU Horizon 2020 FLARE (Flooding Accident Response) project (Grant No: 814753-2). Financial support from Merenkulun S??ti? is highly acknowledged. Publisher Copyright: {\textcopyright} 2020 by the International Society of Offshore and Polar Engineers (ISOPE).; 30th International Ocean and Polar Engineering Conference, ISOPE 2020 ; Conference date: 11-10-2020 Through 16-10-2020",

year = "2020",

language = "English",

volume = "4",

series = "Proceedings of the International Offshore and Polar Engineering Conference",

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

pages = "3558--3567",

booktitle = "30th International Ocean and Polar Engineering Conference",

address = "United States",

}

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. vol. 4, International Society of Offshore and Polar Engineers ISOPE, Proceedings of the International Offshore and Polar Engineering Conference, vol. 2020-October, pp. 3558-3567, 30th International Ocean and Polar Engineering Conference, ISOPE 2020, Virtual, Online, 11/10/20.

Analysis of the grounding avoidance behavior of a ro-pax ship in the gulf of finland using big data. / Zhang, Mingyang (Corresponding author); Montewka, Jakub; Manderbacka, Teemu et al.
30th International Ocean and Polar Engineering Conference. Vol. 4 International Society of Offshore and Polar Engineers ISOPE, 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

TY - GEN

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 - Funding Information: 2020 FLARE (Flooding Accident Response) project (Grant No: 814753-2). Financial support from Merenkulun Säätiö is highly acknowledged. Funding Information: This work presented in this paper is carried out within the EU Horizon 2020 FLARE (Flooding Accident Response) project (Grant No: 814753-2). Financial support from Merenkulun S??ti? is highly acknowledged. Publisher Copyright: © 2020 by the International Society of Offshore and Polar Engineers (ISOPE).

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Big data analytics; RoPax ships; Gulf of Finland

KW - Grounding

KW - Ship Safety

UR - http://www.scopus.com/inward/record.url?scp=85090908435&partnerID=8YFLogxK

M3 - Conference article in proceedings

AN - SCOPUS:85090908435

VL - 4

T3 - Proceedings of the International Offshore and Polar Engineering Conference

SP - 3558

EP - 3567

BT - 30th International Ocean and Polar Engineering Conference

PB - International Society of Offshore and Polar Engineers ISOPE

T2 - 30th International Ocean and Polar Engineering Conference, ISOPE 2020

Y2 - 11 October 2020 through 16 October 2020

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. Vol. 4. International Society of Offshore and Polar Engineers ISOPE. 2020. p. 3558-3567. (Proceedings of the International Offshore and Polar Engineering Conference, Vol. 2020-October).

Analysis of the grounding avoidance behavior of a ro-pax ship in the gulf of finland using big data

Abstract

Publication series

Conference

Keywords

Other files and links

Fingerprint

Cite this