Safety Assurance of Maritime Autonomous Surface Ships

被引:0
|
作者
Wylie, M. [1 ]
Rajabally, E. [2 ]
机构
[1] BMT, Safety Capabil, Bath, Avon, England
[2] BMT, Maritime Autonomous Syst Campaign, Bath, Avon, England
关键词
D O I
10.1088/1742-6596/2867/1/012045
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Safety of Maritime Autonomous Surface Ships (MASS) is inherently complex owing to the dynamic and unpredictable nature of the maritime environment. This is exacerbated by the pace of change in enabling technologies and their disruptive impact. Integral to the safety assurance of MASS is assessment and mitigation of risk. The International Maritime Organisation (IMO) defines Risk as "the combination of frequency and severity of the consequence". The advent of software-controlled systems has introduced difficulties in quantifying frequencies; an issue which is more prevalent in the context of autonomy due to the complex interaction between control algorithms and the variabilities of the environment in which they are deployed. Within complex autonomous systems, therefore it is challenging to perform quantitative risk assessments using failure rates, which gives rise to a need for different techniques to assess risk. Novel risk assessment methodologies such as those presented in the European Maritime Safety Agency (EMSA) Risk Based Assessment Tool (RBAT) combined with conventional risk assessment techniques can offer a solution to this challenge. Compliance with legislation and standards is another cornerstone of safety assurance, which is also inherently difficult for MASS vessels owing to their having been developed for conventional vessels. A goal-based approach to legislation compliance could present an interim solution until the IMO goal-based Maritime Autonomous Systems (MAS) provides harmonisation across the industry. Whilst MASS Safety assurance is non-trivial, there are solutions to many of the challenges faced; this paper examines the predominant challenges and presents potential solutions.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Maritime Autonomous Surface Ships in Use with LMI and Overriding Trajectory Controller
    Rybczak, Monika
    Gierusz, Witold
    APPLIED SCIENCES-BASEL, 2022, 12 (19):
  • [32] Parallel Dynamic Control of Maritime Autonomous Surface Ships for Automatic Berthing
    Xu, Jiaxue
    Gu, Nan
    Xia, Fengbei
    Wang, Dan
    Liu, Lu
    Peng, Zhouhua
    2024 14TH ASIAN CONTROL CONFERENCE, ASCC 2024, 2024, : 292 - 296
  • [33] Deep Learning in Maritime Autonomous Surface Ships: Current Development and Challenges
    Jun Ye
    Chengxi Li
    Weisong Wen
    Ruiping Zhou
    Vasso Reppa
    Journal of Marine Science and Application, 2023, 22 : 584 - 601
  • [34] Maritime Autonomous Surface Ships: Problems and Challenges Facing the Regulatory Process
    Issa, Mohamad
    Ilinca, Adrian
    Ibrahim, Hussein
    Rizk, Patrick
    SUSTAINABILITY, 2022, 14 (23)
  • [35] Deep Learning in Maritime Autonomous Surface Ships: Current Development and Challenges
    Ye, Jun
    Li, Chengxi
    Wen, Weisong
    Zhou, Ruiping
    Reppa, Vasso
    JOURNAL OF MARINE SCIENCE AND APPLICATION, 2023, 22 (03) : 584 - 601
  • [36] Legal Status of the Remote Operator in Maritime Autonomous Surface Ships (MASS) Under Maritime Law
    Choi, Junghwan
    Lee, Sangil
    OCEAN DEVELOPMENT AND INTERNATIONAL LAW, 2022, 52 (04): : 445 - 462
  • [37] Experimental investigation of practical autopilots for maritime autonomous surface ships in shallow water
    Chen, Changyuan
    Delefortrie, Guillaume
    Lataire, Evert
    OCEAN ENGINEERING, 2020, 218
  • [38] Motion Modeling and Simulation of Maritime Autonomous Surface Ships in Realistic Environmental Disturbances
    Jing, Qianfeng
    Shen, Helong
    Yin, Yong
    2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2020,
  • [39] Review of Path-following Control Systems for Maritime Autonomous Surface Ships
    Xu, Haitong
    Soares, C. Guedes
    JOURNAL OF MARINE SCIENCE AND APPLICATION, 2023, 22 (02) : 153 - 171
  • [40] Data/Knowledge-Driven Behaviour Analysis for Maritime Autonomous Surface Ships
    Wen, Yuanqiao
    Hahn, Axel
    Banda, Osiris Valdez
    Huang, Yamin
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (03)