Navigators’ views of a collision avoidance decision support system for maritime navigation
Artikel i vetenskaplig tidskrift, 2022

Maritime navigation is a complex task involving the acquisition, analysis, and interpretation of information using seamanship, professional knowledge, and technology. As the maritime industry transitions towards maritimeautonomous surface ships (MASS), there is an increasing gap between the operator and the technology. This paper explores a collision avoidance decision support system for navigation from the navigator’s perspective. The system, developed by Wärtsilä, is called Advanced Intelligent Manoeuvring (AIM) and can generate suggestions for course or speed alterations based on data from surrounding traffic. Nineteen Swedish navigators completed three ship traffic scenarios with and without decision support. Qualitative data were collected using interviews and analysed with thematic analysis. The results show that the participants perceive the decision support system as an advisory tool to visualise how traffic situations could unfold, a task currently difficult for most navigators. This paper discusses the present and near future of maritime navigation, highlighting the benefits of automation, whileremaining vigilant about the potential dangers.

Navigation, human factor, ship, COLREGs

Författare

Katie A Aylward

Chalmers, Mekanik och maritima vetenskaper, Maritima studier

Reto Weber

Chalmers, Mekanik och maritima vetenskaper, Maritima studier

Monica Lundh

Chalmers, Mekanik och maritima vetenskaper, Maritima studier

Scott Mackinnon

Chalmers, Mekanik och maritima vetenskaper, Maritima studier

Joakim Dahlman

Chalmers, Mekanik och maritima vetenskaper, Maritima studier

Journal of Navigation

0373-4633 (ISSN) 1469-7785 (eISSN)

Vol. 75 5 1035-1048

Learning from Algorithm Based decision Support systems (COLREG-LABS)

Trafikverket, 2020-05-01 -- 2022-04-30.

Lighthouse, 2020-05-01 -- 2022-04-30.

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Infrastruktur

Chalmers maritima simulatorer

Ämneskategorier

Robotteknik och automation

Marin teknik

DOI

10.1017/S0373463322000510

Mer information

Senast uppdaterat

2023-10-26