On the estimation of collision frequency and generation of collision scenarios from AIS big-data analysis

Mingyang Zhang; Fabien Conti; Herve Le Sourne; Dracos Vassalos; Pentti Kujala; Daniel Lindroth; Spyros Hirdaris

On the estimation of collision frequency and generation of collision scenarios from AIS big-data analysis

Mingyang Zhang, Fabien Conti, Herve Le Sourne, Dracos Vassalos, Pentti Kujala, Daniel Lindroth, Spyros Hirdaris

Department of Energy and Mechanical Engineering

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

Abstract

This paper introduces a method that makes use of AIS data to estimate collision frequencies and scenarios for use in ship damage stability. Collision scenarios are studied by crash analysis to obtain a probabilistic description of the damage, relevant to the ship studied and an area of operation. Due to the extensive number of collision scenarios to be simulated, crash analysis is carried out by the Super-Element method. Results are presented for a RoPax ship operating from 2018 – 2019 in the Gulf of Finland. The reference struck ship considered has been the cruise vessel FLOODSTAND SHIP B (Luhmann, H. (2009)). The damages obtained correlate well with those adopted by SOLAS. Yet, the method is by nature sensitive to the accuracy of collision detection or damage breach
evaluation models. Thus, it is concluded it could better suit the evaluation of flooding risk, following an approach that is ship and operational area-specific i.e. within the context of the safety case approach currently used in the offshore industry.

Original language	English
Title of host publication	Proceedings of the 1st International Conference on the Stability and Safety of Ships and Ocean Vehicles
Number of pages	15
Publication status	Published - 7 Jun 2021
MoE publication type	Not Eligible
Event	International Conference on the Stability and Safety of Ships and Ocean Vehicles - University of Strathclyde, Glasgow, United Kingdom Duration: 7 Jun 2021 → 11 Jun 2021 Conference number: 1 http://www.stability-and-safety-2021.org/ https://stability-and-safety-2021.org/

Conference

Conference	International Conference on the Stability and Safety of Ships and Ocean Vehicles
Abbreviated title	STAB&S
Country/Territory	United Kingdom
City	Glasgow
Period	07/06/2021 → 11/06/2021
Internet address	http://www.stability-and-safety-2021.org/ https://stability-and-safety-2021.org/

Keywords

Big data analysis
Passenger ships
Collision frequency and flooding risk
Damage stability
Super - Element method

Field of art

Design

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@inproceedings{ea66424230d04f80b852ed267f6fb0db,

title = "On the estimation of collision frequency and generation of collision scenarios from AIS big-data analysis",

abstract = "This paper introduces a method that makes use of AIS data to estimate collision frequencies and scenarios for use in ship damage stability. Collision scenarios are studied by crash analysis to obtain a probabilistic description of the damage, relevant to the ship studied and an area of operation. Due to the extensive number of collision scenarios to be simulated, crash analysis is carried out by the Super-Element method. Results are presented for a RoPax ship operating from 2018 – 2019 in the Gulf of Finland. The reference struck ship considered has been the cruise vessel FLOODSTAND SHIP B (Luhmann, H. (2009)). The damages obtained correlate well with those adopted by SOLAS. Yet, the method is by nature sensitive to the accuracy of collision detection or damage breach evaluation models. Thus, it is concluded it could better suit the evaluation of flooding risk, following an approach that is ship and operational area-specific i.e. within the context of the safety case approach currently used in the offshore industry. ",

keywords = "Big data analysis, Passenger ships, Collision frequency and flooding risk, Damage stability, Super - Element method",

author = "Mingyang Zhang and Fabien Conti and {Le Sourne}, Herve and Dracos Vassalos and Pentti Kujala and Daniel Lindroth and Spyros Hirdaris",

year = "2021",

month = jun,

day = "7",

language = "English",

booktitle = "Proceedings of the 1st International Conference on the Stability and Safety of Ships and Ocean Vehicles",

note = "International Conference on the Stability and Safety of Ships and Ocean Vehicles, STAB&S ; Conference date: 07-06-2021 Through 11-06-2021",

url = "http://www.stability-and-safety-2021.org/, https://stability-and-safety-2021.org/",

}

Zhang, M, Conti, F, Le Sourne, H, Vassalos, D, Kujala, P, Lindroth, D & Hirdaris, S 2021, On the estimation of collision frequency and generation of collision scenarios from AIS big-data analysis. in Proceedings of the 1st International Conference on the Stability and Safety of Ships and Ocean Vehicles. International Conference on the Stability and Safety of Ships and Ocean Vehicles, Glasgow, United Kingdom, 07/06/2021.

On the estimation of collision frequency and generation of collision scenarios from AIS big-data analysis. / Zhang, Mingyang; Conti, Fabien; Le Sourne, Herve et al.
Proceedings of the 1st International Conference on the Stability and Safety of Ships and Ocean Vehicles. 2021.

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

TY - GEN

T1 - On the estimation of collision frequency and generation of collision scenarios from AIS big-data analysis

AU - Zhang, Mingyang

AU - Conti, Fabien

AU - Le Sourne, Herve

AU - Vassalos, Dracos

AU - Kujala, Pentti

AU - Lindroth, Daniel

AU - Hirdaris, Spyros

N1 - Conference code: 1

PY - 2021/6/7

Y1 - 2021/6/7

N2 - This paper introduces a method that makes use of AIS data to estimate collision frequencies and scenarios for use in ship damage stability. Collision scenarios are studied by crash analysis to obtain a probabilistic description of the damage, relevant to the ship studied and an area of operation. Due to the extensive number of collision scenarios to be simulated, crash analysis is carried out by the Super-Element method. Results are presented for a RoPax ship operating from 2018 – 2019 in the Gulf of Finland. The reference struck ship considered has been the cruise vessel FLOODSTAND SHIP B (Luhmann, H. (2009)). The damages obtained correlate well with those adopted by SOLAS. Yet, the method is by nature sensitive to the accuracy of collision detection or damage breach evaluation models. Thus, it is concluded it could better suit the evaluation of flooding risk, following an approach that is ship and operational area-specific i.e. within the context of the safety case approach currently used in the offshore industry.

AB - This paper introduces a method that makes use of AIS data to estimate collision frequencies and scenarios for use in ship damage stability. Collision scenarios are studied by crash analysis to obtain a probabilistic description of the damage, relevant to the ship studied and an area of operation. Due to the extensive number of collision scenarios to be simulated, crash analysis is carried out by the Super-Element method. Results are presented for a RoPax ship operating from 2018 – 2019 in the Gulf of Finland. The reference struck ship considered has been the cruise vessel FLOODSTAND SHIP B (Luhmann, H. (2009)). The damages obtained correlate well with those adopted by SOLAS. Yet, the method is by nature sensitive to the accuracy of collision detection or damage breach evaluation models. Thus, it is concluded it could better suit the evaluation of flooding risk, following an approach that is ship and operational area-specific i.e. within the context of the safety case approach currently used in the offshore industry.

KW - Big data analysis

KW - Passenger ships

KW - Collision frequency and flooding risk

KW - Damage stability

KW - Super - Element method

UR - https://stability-and-safety-2021.org/proceedings

M3 - Conference article in proceedings

BT - Proceedings of the 1st International Conference on the Stability and Safety of Ships and Ocean Vehicles

T2 - International Conference on the Stability and Safety of Ships and Ocean Vehicles

Y2 - 7 June 2021 through 11 June 2021

ER -

On the estimation of collision frequency and generation of collision scenarios from AIS big-data analysis

Abstract

Conference

Keywords

Field of art

UN SDGs

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