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

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 314, P. 119734 - 119734

Published: Nov. 12, 2024

Language: Английский

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

Marko Rahikainen

et al.

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110810 - 110810

Published: Jan. 1, 2025

Language: Английский

Citations

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

Journal of Marine Engineering & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: Feb. 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.

Language: Английский

Citations

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

et al.

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110991 - 110991

Published: March 1, 2025

Language: Английский

Citations

1
Assessment of human contribution to cargo ship accidents using Fault Tree Analysis and Bayesian Network Analysis DOI
Ivana Jovanović, Maja Perčić, Nikola Vladimir

et al.

Ocean Engineering, Journal Year: 2025, Volume and Issue: 323, P. 120628 - 120628

Published: Feb. 12, 2025

Language: Английский

Citations

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

Olov Lundbäck

et al.

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 111026 - 111026

Published: March 1, 2025

Language: Английский

Citations

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

Pietro Corsi,

Sergej Jakovlev, Massimo Figari

et al.

Journal of Marine Science and Engineering, Journal Year: 2025, Volume and Issue: 13(4), P. 751 - 751

Published: April 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.

Language: Английский

Citations

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

et al.

Ocean Engineering, Journal Year: 2025, Volume and Issue: 329, P. 121140 - 121140

Published: April 14, 2025

Language: Английский

Citations

0
Exploring industry acceptance of maritime autonomous surface ships: A grounded theory approach DOI

Li Yiteng,

Ling Zhu

Research in Transportation Business & Management, Journal Year: 2024, Volume and Issue: 57, P. 101221 - 101221

Published: Oct. 7, 2024

Language: Английский

Citations

3
Addressing systemic risks in autonomous maritime navigation: A structured STPA and ODD-based methodology DOI Creative Commons
Takuya Nakashima,

Rui Kureta,

Siddartha Khastgir

et al.

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 111041 - 111041

Published: March 1, 2025

Language: Английский

Citations

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

Mert Yıldız,

Hans-Christoph Burmeister, Manfred Constapel

et al.

Journal of Marine Engineering & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: May 3, 2025

Language: Английский

Citations

0