Challenges, solution proposals and research directions in safety and risk assessment of autonomous shipping

Jakub Montewka, Krzysztof Wróbel, Eetu Heikkilä, Osiris Valdez-Banda, Floris Goerlandt, Stein Haugen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional

    6 Citations (Scopus)

    Abstract

    Maritime Autonomous Surface Ships (MASS) are becoming reality in the shippingindustry. Besides numerous anticipated advantages this type of ships has there are new potential hazards as well that have to be addressed. This needs to be done at the design stage of transportation system that will encompass such vehicles, to make sure that the new system’s safety can be guaranteed at the acceptable level. To this end numerous methods can be utilized pertaining to the field of safety and risk assessment. Those methods however are of different scope and may have different application areas. Therefore in this paper we discuss selected methods suitable for safety assessment and quantification of transportation systems including goal-based safety case approach, system theoretic process analysis and risk assessment. Challenges and opportunities of those approaches are highlighted and the recommendations are given regarding the application areas of the methods.
    Original languageEnglish
    Title of host publicationPSAM 14 - Probabilistic Safety Assessment and Management
    Subtitle of host publicationPapers
    Number of pages12
    Publication statusPublished - 2018
    MoE publication typeD3 Professional conference proceedings
    Event14th Probabilistic Safety Assessment and Management Conference, PSAM 14 - UCLA Luskin Conference Center, Los Angeles, United States
    Duration: 16 Sep 201821 Sep 2018
    Conference number: 14

    Conference

    Conference14th Probabilistic Safety Assessment and Management Conference, PSAM 14
    Abbreviated titlePSAM 2018
    CountryUnited States
    CityLos Angeles
    Period16/09/1821/09/18

    Keywords

    • safety and risk
    • maritime transport
    • autonomous ships

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