Search
Didn't find any results in this catalog!
But we have some results in other catalogs.Filters
total: 6394
-
Catalog
- Publications 5189 available results
- Journals 149 available results
- Conferences 10 available results
- Publishing Houses 1 available results
- People 132 available results
- Inventions 1 available results
- Projects 8 available results
- Research Equipment 1 available results
- e-Learning Courses 63 available results
- Events 4 available results
- Open Research Data 836 available results
displaying 1000 best results Help
Search results for: MARITIME AUTONOMOUS SURFACE SHIPS, LEADING SAFETY INDICATORS, MARITIME SAFETY, AUTONOMOUS SHIPS
-
On the use of leading safety indicators in maritime and their feasibility for Maritime Autonomous Surface Ships
PublicationAlthough the safety of prospective Maritime Autonomous Surface Ships will largely depend on their ability to detect potential hazards and react to them, the contemporary scientific literature lacks the analysis of how to achieve this. This could be achieved through an application of leading safety indicators. The aim of the performed study was to identify the research directions of leading safety indicators in three safety-critical...
-
Preliminary Results of a System-theoretic Assessment of Maritime Autonomous Surface Ships' Safety
PublicationWhile a system‐theoretic approach to the safety analysis of innovative socio‐technical systems gains a growing acceptance among academia, safety issues of Maritime Autonomous Surface Ships (MASS) remain largely unexplored. Therefore, we applied a System‐Theoretic Process Analysis to develop and analyze a preliminary model of the unmanned shipping system in order to elaborate safety recommendations for...
-
Comments to the article by Ramos et al. ‘Collision avoidance on maritime autonomous surface ships: Operators’ tasks and human failure events’ (Safety Science Vol. 116, July 2019, pp. 33–44)
Publication -
Review of Autonomous and Remotely Controlled Ships in Maritime Sector
Publication -
Jakub Montewka prof. dr hab. inż.
PeopleJakub Montewka is an associate professor at Gdańsk University of Technology in Poland and visiting processor at Aalto University in Espoo, Finland and Wuhan University of Technology in China. Jakub is researching in the field of maritime traffic risk and safety. His primary interests lie in the risk assessment of maritime transportation, quantification of safety of maritime navigation, route optimization for ships in ice-covered...
-
Modeling of performance and safety of a multi-task unmanned autonomous maritime vehicle = Modelowanie ruchu i bezpieczeństwa wielozadaniowego bezzałogowego autonomicznego pojazdu wodnego
PublicationAt the beginning of the paper the aim of research is presented. Then the method is introduced. Next, the unmanned autonomous maritime vehicle is briefly described. The following chapter concerns a model of vehicle performance including the ballasting and motion. Some information on an integrated steering, positioning and stabilization system of the vehicle is briefly presented in the paper. Such the system enables to obtain a fully...
-
Modeling of Performance And Safety of a Multi-Task Unmanned Autonomous Maritime Vehicle / Modelowanie Ruchu i Bezpieczeństwa Wielozadaniowego Bezzałogowego Autonomicznego Pojazdu Wodnego
Publication -
Know your safety indicator – A determination of merchant vessels Bow Crossing Range based on big data analytics
PublicationEven in the era of automatization maritime safety constantly needs improvements. Regardless of the presence of crew members on board, both manned and autonomous ships should follow clear guidelines (no matter as bridge procedures or algorithms). To date, many safety indicators, especially in collision avoidance have been proposed. One of such parameters commonly used in day-to-day navigation but usually omitted by researchers is...
-
A risk comparison framework for autonomous ships navigation
PublicationMaritime 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...
-
Advanced Bayesian study on inland navigational risk of remotely controlled autonomous ship
PublicationThe arise of autonomous ships has necessitated the development of new risk assessment techniques and methods. This study proposes a new framework for navigational risk assessment of remotely controlled Maritime Autonomous Surface Ships (MASS). This framework establishes a set of risk influencing factors affecting safety of navigation of a remotely-controlled MASS. Next, model parameters are defined based on the risk factors, and...