Collision risk assessment based on the vulnerability of marine accidents using fuzzy logic
Based on the trend, there have been numerous researches analysing the ship collision risk. However, in this scope, the navigational conditions and external environment are ignored or incompletely considered in training or/and real situation. It has been identified as a significant limitation in the...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Elsevier
2020-01-01
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Series: | International Journal of Naval Architecture and Ocean Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2092678220300212 |
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author | Yancai Hu Gyei-Kark Park |
author_facet | Yancai Hu Gyei-Kark Park |
author_sort | Yancai Hu |
collection | DOAJ |
description | Based on the trend, there have been numerous researches analysing the ship collision risk. However, in this scope, the navigational conditions and external environment are ignored or incompletely considered in training or/and real situation. It has been identified as a significant limitation in the navigational collision risk assessment. Therefore, a novel algorithm of the ship navigational collision risk solving system has been proposed based on basic collision risk and vulnerabilities of marine accidents. The vulnerability can increase the possibility of marine collision accidents. The factors of vulnerabilities including bad weather, tidal currents, accidents prone area, traffic congestion, operator fatigue and fishing boat operating area are involved in the fuzzy reasoning engines to evaluate the navigational conditions and environment. Fuzzy logic is employed to reason basic collision risk using Distance to Closest Point of Approach (DCPA) and Time of Closest Point of Approach (TCPA) and the degree of vulnerability in the specific coastal waterways. Analytical Hierarchy Process (AHP) method is used to obtain the integration of vulnerabilities. In this paper, vulnerability factors have been proposed to improve the collision risk assessment especially for non-SOLAS ships such as coastal operating ships and fishing vessels in practice. Simulation is implemented to validate the practicability of the designed navigational collision risk solving system. |
first_indexed | 2024-12-14T00:48:02Z |
format | Article |
id | doaj.art-e4712be4279040959d2893836890c3c3 |
institution | Directory Open Access Journal |
issn | 2092-6782 |
language | English |
last_indexed | 2024-12-14T00:48:02Z |
publishDate | 2020-01-01 |
publisher | Elsevier |
record_format | Article |
series | International Journal of Naval Architecture and Ocean Engineering |
spelling | doaj.art-e4712be4279040959d2893836890c3c32022-12-21T23:24:02ZengElsevierInternational Journal of Naval Architecture and Ocean Engineering2092-67822020-01-0112541551Collision risk assessment based on the vulnerability of marine accidents using fuzzy logicYancai Hu0Gyei-Kark Park1Navigation College, Shandong Jiaotong University, China; Faculty of International Maritime Transportation Science System, Department of Maritime Transport, MOKPO National Maritime University, South KoreaFaculty of International Maritime Transportation Science System, Department of Maritime Transport, MOKPO National Maritime University, South Korea; Corresponding author.Based on the trend, there have been numerous researches analysing the ship collision risk. However, in this scope, the navigational conditions and external environment are ignored or incompletely considered in training or/and real situation. It has been identified as a significant limitation in the navigational collision risk assessment. Therefore, a novel algorithm of the ship navigational collision risk solving system has been proposed based on basic collision risk and vulnerabilities of marine accidents. The vulnerability can increase the possibility of marine collision accidents. The factors of vulnerabilities including bad weather, tidal currents, accidents prone area, traffic congestion, operator fatigue and fishing boat operating area are involved in the fuzzy reasoning engines to evaluate the navigational conditions and environment. Fuzzy logic is employed to reason basic collision risk using Distance to Closest Point of Approach (DCPA) and Time of Closest Point of Approach (TCPA) and the degree of vulnerability in the specific coastal waterways. Analytical Hierarchy Process (AHP) method is used to obtain the integration of vulnerabilities. In this paper, vulnerability factors have been proposed to improve the collision risk assessment especially for non-SOLAS ships such as coastal operating ships and fishing vessels in practice. Simulation is implemented to validate the practicability of the designed navigational collision risk solving system.http://www.sciencedirect.com/science/article/pii/S2092678220300212Collision riskVulnerabilitySMART-NavigationNon-SOLAS ship |
spellingShingle | Yancai Hu Gyei-Kark Park Collision risk assessment based on the vulnerability of marine accidents using fuzzy logic International Journal of Naval Architecture and Ocean Engineering Collision risk Vulnerability SMART-Navigation Non-SOLAS ship |
title | Collision risk assessment based on the vulnerability of marine accidents using fuzzy logic |
title_full | Collision risk assessment based on the vulnerability of marine accidents using fuzzy logic |
title_fullStr | Collision risk assessment based on the vulnerability of marine accidents using fuzzy logic |
title_full_unstemmed | Collision risk assessment based on the vulnerability of marine accidents using fuzzy logic |
title_short | Collision risk assessment based on the vulnerability of marine accidents using fuzzy logic |
title_sort | collision risk assessment based on the vulnerability of marine accidents using fuzzy logic |
topic | Collision risk Vulnerability SMART-Navigation Non-SOLAS ship |
url | http://www.sciencedirect.com/science/article/pii/S2092678220300212 |
work_keys_str_mv | AT yancaihu collisionriskassessmentbasedonthevulnerabilityofmarineaccidentsusingfuzzylogic AT gyeikarkpark collisionriskassessmentbasedonthevulnerabilityofmarineaccidentsusingfuzzylogic |