A risk comparison framework for autonomous ships navigation - Publication - MOST Wiedzy

Search

A risk comparison framework for autonomous ships navigation

Abstract

Maritime autonomous surface ships (MASS) may operate in three predefined operational modes (OM): manual, remote, or autonomous control. Determining the appropriate OM for MASS is important for operators and competent authorities that monitor and regulate maritime traffic in given areas. However, a science-based approach to this respect is currently unavailable. To assist the selection of the proper OM, this study presents a risk-based framework to compare risks in a given situation. To determine the risk level for a given OM, this framework utilizes expected failure modes (FM) related to people, organization, vessel, environment, and technology. FMs and associated accident scenarios (AS) were identified from conventional ship accidents, operating in manual control, in a coastal area in China, based on an extended 24Model. To expand these FMs to other OMs, experts’ knowledge elicitation sessions were carried out. Subsequently, a metric for navigation risk of MASS in given OMs was introduced and estimated for the expected AS, using interval-based risk prioritization numbers to convey inherent uncertainty. Finally, by ranking interval-valued metrics in the three OMs, a risk picture was obtained. The feasibility of the proposed framework for risk comparison was verified using grounding in coastal areas where accident data were collected.

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
RELIABILITY ENGINEERING & SYSTEM SAFETY no. 226,
ISSN: 0951-8320
Language:
English
Publication year:
2022
Bibliographic description:
Fan C., Montewka J., Zhang D.: A risk comparison framework for autonomous ships navigation// RELIABILITY ENGINEERING & SYSTEM SAFETY -, (2022), s.108709-
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.ress.2022.108709
Sources of funding:
Verified by:
Gdańsk University of Technology

seen 43 times

Recommended for you

Meta Tags