ecms_neu_mini.png

Digital Library

of the European Council for Modelling and Simulation

 

Title:

A Model For Forecasting Mental Fatigue In Maritime Operations

Authors:

Thiago G. Monteiro, Henrique M. Gaspar, Houxiang Zhang, Charlotte Skourup

Published in:

 

 

2020). ECMS 2020 Proceedings Edited by: Mike Steglich, Christian Muller, Gaby Neumann, Mathias Walther, European Council for Modeling and Simulation.

 

DOI: http://doi.org/10.7148/2020

ISSN: 2522-2422 (ONLINE)

ISSN: 2522-2414 (PRINT)

ISSN: 2522-2430 (CD-ROM)

 

ISBN: 978-3-937436-68-5
ISBN: 978-3-937436-69-2(CD)

 

Communications of the ECMS , Volume 34, Issue 1, June 2020,

United Kingdom

 

Citation format:

Thiago G. Monteiro, Henrique M. Gaspar, Houxiang Zhang, Charlotte Skourup (2020). A Model For Forecasting Mental Fatigue In Maritime Operations, ECMS 2020 Proceedings Edited By: Mike Steglich, Christian Mueller, Gaby Neumann, Mathias Walther European Council for Modeling and Simulation. doi: 10.7148/2020-0221

DOI:

https://doi.org/10.7148/2020-0221

Abstract:

Assessing seafarers' mental fatigue levels helps identifying potential operational risks and the ability to simulate future scenarios can be used during planning and management, to ensure safer operational conditions. In this work, we propose a framework for modelling seafarers' future mental fatigue levels using a combination of both physiological and environmental sensors and model- and data-based techniques. We established building blocks of this framework and presented examples of how it can be applied in different scenarios as soon as enough data is collected to feed the data-based section of the model. Once properly trained, this framework can be used not only to assess human-related operational risks but also to provide the necessary information to ensure that these issues are addressed before potential danger escalates to real accidents.

Full text: