VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
PDF
  • Vessel multi-parametric collision avoidance decision model [Elektronski vir] : fuzzy approach
    Brcko, Tanja ...
    The application of fuzzy logic is an effective approach to a variety of circumstances, including solutions to maritime anti-collision problems. The article presents an upgrade of the radar navigation ... system, in particular, its collision avoidance planning tool, using a decision model that combines dynamic parameters into one decision%the collision avoidance course. In this paper, a multi-parametric decision model based on fuzzy logic is proposed. The model calculates course alteration in a collision avoidance situation. First, the model collects input data of the target vessel and assesses the collision risk. Using time delay, four parameters are calculated for further processing as input variables for a fuzzy inference system. Then, the fuzzy logic method is used to calculate the course alteration, which considers the vessel's safety domain and International Regulations for Preventing Collisions at Sea (COLREGs). The special feature of the decision model is its tuning with the results of the database of correct solutions obtained with the manual radar plotting method. The validation was carried out with six selected cases simulating encounters with the target vessel in the open sea from different angles and at any visibility. The results of the case studies have shown that the decision model computes well in situations where the own vessel is in a give-way position. In addition, the model provides good results in situations when the target vessel violates COLREG rules. The collision avoidance planning tool can be automated and serve as a basis for further implementation of a model that considers the manoeuvrability of the vessels, weather conditions, and multi-vessel encounter situations.
    Vir: Journal of marine science and engineering [Elektronski vir]. - ISSN 2077-1312 (Vol. 9, no. 1, 49, 2021, 1 spletni vir (1 datoteka PDF (24 str.)))
    Vrsta gradiva - e-članek
    Leto - 2021
    Jezik - angleški
    COBISS.SI-ID - 49241091

    Povezava(-e):

    https://www.mdpi.com/2077-1312/9/1/49
    Repozitorij Univerze v Ljubljani – RUL
    DOI

Vnos na polico