Mixed traffic conditions of autonomous and human-driven ships: Assessing channel traffic capacity bounds and optimizing channel management DOI
Wenqiang Guo, Xinyu Zhang, Ryan Wen Liu

и другие.

Ocean Engineering, Год журнала: 2024, Номер 314, С. 119734 - 119734

Опубликована: Ноя. 12, 2024

Язык: Английский

Investigation into safety acceptance principles for autonomous ships DOI Creative Commons
Victor Bolbot, Martin Bergström,

Marko Rahikainen

и другие.

Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 110810 - 110810

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Integration of MIMAH and Fuzzy Bayesian Networks for risk analysis in chemical tanker loading operations DOI
Cenk Ay

Journal of Marine Engineering & Technology, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Фев. 13, 2025

This study provides a systematic risk assessment approach for chemical tanker loading operations, focusing on high-risk scenario identified through operational data from model vessel. To address the complexities of transportation, hybrid methodology combining Methodology Identification Major Accident Hazards (MIMAH) and Fuzzy Bayesian Network (FBN) analysis was developed. MIMAH's structured framework systematically identifies critical events using Bow-Tie (BT) diagram, integrating Fault Tree (FT) Event (ET) providing thorough breakdown potential accident pathways. BT structure converted into (BN) to improve probability estimations by incorporating conditional dependencies expert-driven fuzzy logic, particularly where historical limited. The further employed dual-method sensitivity analysis, Fussell-Vesely (FV) importance measures Improvement Index (II), identify improvement-prone basic (BEs). Key findings highlight dominance human error in events, manifold connection failures incorrect valve alongside mechanical vulnerabilities with significant improvement potential. extends ARAMIS principles maritime contexts, reliability-based fuzzy-based estimation methods detailed adaptable that enhances safety resilience hazardous transport.

Язык: Английский

Процитировано

1
Enhanced Risk Assessment Framework for Complex Maritime Traffic Systems via Data Driven: A Case Study of Ship Navigation in Arctic DOI
Shenping Hu, C. Fang, Jian Wu

и другие.

Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 110991 - 110991

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1
Exploring industry acceptance of maritime autonomous surface ships: A grounded theory approach DOI

Li Yiteng,

Ling Zhu

Research in Transportation Business & Management, Год журнала: 2024, Номер 57, С. 101221 - 101221

Опубликована: Окт. 7, 2024

Язык: Английский

Процитировано

3
Assessment of human contribution to cargo ship accidents using Fault Tree Analysis and Bayesian Network Analysis DOI
Ivana Jovanović, Maja Perčić, Nikola Vladimir

и другие.

Ocean Engineering, Год журнала: 2025, Номер 323, С. 120628 - 120628

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0
Probabilistic analysis of ship-bridge allisions when designing bridges DOI Creative Commons
Axel Hörteborn, Jonas W. Ringsberg,

Olov Lundbäck

и другие.

Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 111026 - 111026

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Addressing systemic risks in autonomous maritime navigation: A structured STPA and ODD-based methodology DOI Creative Commons
Takuya Nakashima,

Rui Kureta,

Siddartha Khastgir

и другие.

Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 111041 - 111041

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Analysis and Definition of Certification Requirements for Maritime Autonomous Surface Ship Operation DOI Creative Commons

Pietro Corsi,

Sergej Jakovlev, Massimo Figari

и другие.

Journal of Marine Science and Engineering, Год журнала: 2025, Номер 13(4), С. 751 - 751

Опубликована: Апрель 9, 2025

The autonomy of transport systems presents a transformative opportunity to enhance logistics efficiency, improve safety, and support decarbonization. In the maritime sector, International Maritime Organization (IMO) has been working since 2016 develop mandatory regulatory framework for Autonomous Surface Ships (MASSs), aiming finalize comprehensive code. Simultaneously, pilot projects are underway in national waters under oversight administrations. Naval applications autonomous ships demonstrate their potential, as emerging doctrines highlight strategic operational advantages. Although military sector is not governed at international level, safely managing interactions between commercial MASSs crucial ensuring safe navigation. Classification societies play vital role achieving high safety standards compliance. This study aims propose certifying vessels. Through thorough analysis existing literature by identifying gaps, this outlines structured pathway facilitate certification operation MASSs, addressing key technical, operational, considerations. research contributes designing risk-informed approach development surface vehicles.

Язык: Английский

Процитировано

0
Team task complexity analysis in MASS operation using a fuzzy TOPSIS method DOI Creative Commons
Juncheng Tao, Zhengjiang Liu, Xinjian Wang

и другие.

Ocean Engineering, Год журнала: 2025, Номер 329, С. 121140 - 121140

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

0
Quantitative risk assessment and risk control measure definition of a periodically unattended bridge DOI

Mert Yıldız,

Hans-Christoph Burmeister, Manfred Constapel

и другие.

Journal of Marine Engineering & Technology, Год журнала: 2025, Номер unknown, С. 1 - 14

Опубликована: Май 3, 2025

Язык: Английский

Процитировано

0